SlideShare ist ein Scribd-Unternehmen logo
1 von 5
Downloaden Sie, um offline zu lesen
ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010




       Analysis of Self-Excited Induction Generator
        under Balanced or Unbalanced Conditions
                                                    Shakuntla BOORA
YMCA University of Science and Technology, Department of Electrical Engineering, Faridabad -121002, INDIA
                                    Email:shaku_boora@yahoo.com


Abstract: This paper presents mathematical models for                three-phase SEIG under balanced or unbalanced excitation
various generator-load configurations that accurately                [13].
determine the conditions for self-excitation and performance
characteristics of an isolated , three-phase, self-excited
                                                                                        II. PROPOSED MODELS
induction generator operating under balanced or unbalanced
conditions .These models are derived using symmetrical                  Consider a 3-φ induction machine connected to a 3-φ
component theory along with the generator sequence                   network consisting of excitation capacitors with or without
equivalent circuits. Using this technique a 4.5kW, 400/440V,
                                                                     a parallel load. The machine may have star or delta
four poles, three-phase induction motor operated as a SEIG is
analysed under different balanced or unbalanced
                                                                     connected windings. Similarly, the network may be
                                                                     connected in either star or delta. Further, this network may
configuration.
                                                                     be either balanced or unbalanced. For a given configuration
Key Words: Induction generator, self-excited, steady state           (star or delta) of the generator & the load, the method of
                                                                     symmetrical components can be used to analyze the
analysis, unbalanced.
                                                                     performance of the system.
                        1. INTRODUCTION                              Sequence equivalent circuits
                                                                        The positive and negative sequence equivalent network
    The self-excited induction generator (SEIG) has                  of a SEIG [14] is shown below in fig. (1)
attracted considerable recent attention due to its
applicability as a stand-alone generator using different
conventional and non-conventional energy resources with
its advantage over the conventional synchronous generator.
.Due to the research of renewable energy resources and
isolated power systems, the SEIG become one of the most
important renewable sources in developing countries [1-
4].Besides application as a generator, the principle of self-
excitation can also be used for dynamic braking of three
phase induction motors [5]. Many papers have discussed                                         (a)   Positive Sequence
analysis of three-phase balanced operation of isolated and
parallel operated self-excited induction generator [6-10].
However, the unbalanced operations of such generators
have been given comparatively little attention. This mode
of operation may sometimes be of interest for various
small-scale applications where either balanced conditions
are not necessary or difficult to achieve. Certain specific
cases of unbalanced conditions in a SEIG have been
discussed in several papers [4& 9-11]. However, no general
                                                                                                 (b) Negative Sequence
method of analysis for the unbalanced mode of operation of
the SEIG is available. For single-phase system, the single –                        Figure 1 Sequence equivalent circuits of a SEIG
phase SEIG could be used with advantage. However, when
the power requirements of the remote area are higher than            A Delta Connected Generator
the normal available ratings of single-phase induction                  Let us assume that a 3-φ delta connected induction
machine have to be constructed to tailor made needs and              machine is connected across a 3-φ delta connected network
this may prove to be expensive .As an alternative, the               having admittances Yab, Ybc & Yca as shown in fig (2). Each
three-phase SEIG can be used as a single-phase generator             branch of the delta network may consist of an excitation
[11&12]. Used thus, the system may work out to be lesser             capacitor in parallel with a general load as shown in fig
in cost than the specially designed single-phase SEIG of             (3.3) for a-b branch.
equivalent capacity. This paper presents general                     .
mathematical models that determine the conditions of self-
excitation and performance characteristics of an isolated,
                                                                59
© 2010 ACEEE
DOI: 01.IJEPE.01.03.535
ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010



                                                                                         I a 2 = (1 − a 2 ) (Y1 Vab 1 + Y0 Vab 2 )
                                                                                            L
                                                                                                                                                (6)

                                                                               From the sequence networks of fig (1), the generator
                                                                             sequence currents are given by
                                                                                            Is1 = – YG1Vt1 and Is2 = – YG2 Vt2
                                                                               Since in fig (2), the generator is Δ-connected, the
                                                                             positive and negative sequence components of the
                                                                             generator line currents are given as:

                                                                                        I G 1 = (1 − a ) Is 1 = −(1 − a )YG1 Vt1
   Figure2. Delta connection of a SEIG & load-excitation capacitors
                                                                                          a
                                                                                                                                                 (7)

                                                                                      I G 2 = (1 − a 2 ) Is 2 = −(1 − a 2 )YG 2 Vt 2
                                                                                        a
                                                                                                                                                 (8)

                                                                             From terminal conditions,

                                                                                                  Ia 1 = IG1 & Ia 2 = IG 2
                                                                                                   L
                                                                                                          a
                                                                                                                L
                                                                                                                       a                         (9)

                                                                             Moreover, for the Δ-connected generator, the phase & the
                Figure3. Equivalent circuits of a-b branch                   line voltages are equal
                       Z = R + jf X for R-L load                                                  ∴ Vt1 = Vab1 & Vt2 = Vab2                    (10)
                            jX                                               From (9) & (10)
                       Z=R-    for R-C load
                             f                                                                    (Y0 + YG1) Vt1 = - Y2 Vt2                    (11)
   The method of symmetrical components can be used to
resolve the unbalanced admittances of the network of fig                                          Y1 Vt1 = - (YG2 + Y0) Vt2                    (12)
(2) into a set of sequence admittances as follows:                           After dividing (11) by (12), we get
                 ⎛ Yo ⎞   ⎛1 1                1⎞     ⎛ Yab ⎞                               (YG1 + Y0) (YG2 + Y0) – Y1 Y2 = 0                   (13)
                 ⎜ ⎟ 1 ⎜                         ⎟   ⎜     ⎟
                 ⎜ Y1 ⎟ = ⎜1 a                a2 ⎟   ⎜ Ybc ⎟    (1)            This is the equation for Δ - connected generator and Δ -
                 ⎜ Y ⎟ 3 ⎜1 a 2               a⎟     ⎜Y ⎟                    connected network.
                 ⎝ 2⎠     ⎝                      ⎠   ⎝ ca ⎠
                                                                             B Star Connected Generator with No Neutral Connection
   In fig (2), the phase currents IabL, IbcL & IcaL can be                     Consider a 3-φ Y-connected induction machine
related to the phase voltages and admittances. By using                      connected across a 3-φ Y-connected network as shown
symmetrical components transformations, these phase                          below
currents can be resolved into their sequence components as
           ⎛ L        ⎞
           ⎜ I abo    ⎟ ⎛Y        Y2     Y 1 ⎞ ⎛ V abo    ⎞
           ⎜ L        ⎟ ⎜ 0                  ⎟⎜           ⎟      (2)
           ⎜ I ab 1   ⎟ = ⎜ Y1    Y0     Y 2 ⎟ ⎜ v ab 1   ⎟
           ⎜ L        ⎟ ⎜
           ⎜ I ab 2   ⎟ ⎝ Y2      Y1     Y 0 ⎟ ⎜ V ab 2
                                             ⎠⎝
                                                          ⎟
                                                          ⎠
           ⎝          ⎠
  As in a delta connected passive network, there is no zero
sequence voltage i.e.Vabo = 0. Thus, the positive and                           Figure4. Star connection of a SEIG and load-excitation capacitors.
negative sequence components of the line & the phase load
currents are related by                                                         Let Y0, Y1, Y2 represent the sequence admittance
                                                                             components of Ya, Yb & Yc. The current IaL, IbL and IcL can
                         Ia lL = (1 − a ) I ab1                  (3)         be related to the load phase voltages and admittances.
                                                                             Using symmetrical components theory, these currents can
                         Ia L = (1 − a 2 ) I ab 2
                            2
                                                                  (4)        be resolved into their sequence components as follows:
                                                                                                                   L
                                                                             Since, for the circuit of fig. (4), I a 0 = 0,
From (2)
      Iab1 = Y0Vab1 + Y2Vab2, Iab2 = Y1Vab1 + Y0Vab2                                            Van0 = (Y2 Van1 + Y1 Van2)/Y0                  (14)

Therefore,                                                                   Consequently,

             I a l = (1 − a ) (Y0 Vab 1 + Y2 Vab 2 )
                L
                                                                  (5)

                                                                        60
© 2010 ACEEE
DOI: 01.IJEPE.01.03.535
ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010



              ⎛     YY ⎞          ⎛     Y2 ⎞                                                     YG1 + Y = 0                     (25)
      I a 1 = ⎜ Y0 − 1 2 ⎟ Van1 + ⎜ Y2 − 1 ⎟ Van 2
        L
              ⎜      Y0 ⎟         ⎜     Y0 ⎟
                                                             (15)         Or                     YG2 + Y = 0                     (26)
              ⎝          ⎠        ⎝        ⎠
                                                                            It is noted that (25) also offers the feasible solution
               ⎛     Y2 ⎞        ⎛     YY ⎞                               which represents the balanced operation of SEIG [2, 3].
       L
      Ia 2   = ⎜ Y1 − 2 ⎟ Van1 + ⎜ Y0 − 1 2 ⎟ Van2
               ⎜        ⎟        ⎜      Y0 ⎟
                                                              (16)
                                                                          Two phases open - Suppose that there is only one
               ⎝     Y0 ⎠        ⎝          ⎠                             excitation capacitor is parallel with a load i.e. Ya = Y and
However, the generator sequence currents are given as                     Yb = Yc = 0 .Therefore Y0 = Y1 = Y2 = Y/3. Hence (21)
                                                                          reduces to
                        I G 1 = - YG1 Vam1
                          a                                   (17)                               YG1 YG2 = 0                     (27)
                                                                            The above equation can be represented by connecting
                        IG 2 = - YG2 Vam2
                         a                                    (18)
                                                                          positive and negative sequence equivalent circuit in
   It is noted that the generator and the load phase voltages             parallel.
may not be equal under unbalanced conditions. However,
the generator and the load line voltages are equal regardless                              III METHOD OF SOLUTION
of the degree of unbalance.                                                  Equation (13) & (23) represent the conditions that must
   Sequence components of the phase and line voltages of                  be satisfied for the self-excitation of the induction machine
the generator and load are related as                                     corresponding to various generator & load configurations
                Vab1 = (1-a2) Van1 = (1-a2) Vam1             (19)         as discussed above. Each of these equations is complex and
                                                                          non-linear which can be expressed as two simultaneous
                Vab2 = (1-a) Van2 = (1-a) Vam2               (20)         real, nonlinear equations with two unknowns. Such
Hence         Van1 = Vam1 & Van2 = Vam2                                   equations can be solved using any suitable technique
Also, from fig (4)                                                        (Symbolic Mathematics in MATLAB). If the values of the
                                                                          machine parameters, its speed (or frequency), excitation
                     I G1 = I a 1 , I G 2 = I a 2
                       a
                              L
                                      a
                                              L                           capacitance as well as load impedances are given, the two
                                                                          equations can be solved for the magnetizing reactance and
Therefore,                                                                frequency (or speed). On the other hand, if the interest is to
       ⎛                                                                  find the range of terminal capacitances to sustain self-
                   YY ⎞           ⎛     Y2 ⎞
       ⎜ YG1 + Y0 − 1 2 ⎟ Van1 = −⎜ Y2 − 1 ⎟Van 2 (21)
       ⎜                ⎟         ⎜
                                                                          excitation, the two equations can be solved for the
       ⎝            Y0 ⎠          ⎝     Y0 ⎟
                                           ⎠                              frequency (or speed ) and these capacitances by specifying
                                                                          the machine parameters, its speed (or frequency), load
    ⎛     Y2      ⎞         ⎛            YY ⎞                             impedances and the maximum magnetizing reactance, Xmax
    ⎜ Y1 − 2
    ⎜             ⎟ Van1 = −⎜ YG 2 + Y0 − 1 2 ⎟Van 2 (22)
                  ⎟         ⎜
    ⎝     Y0      ⎠         ⎝             Y0 ⎟⎠
                                                                          .Consequently, Xm = Xmax represents the critical conditions
                                                                          for self-excitation. Once Xm, f and v are known, the
Dividing (21) by (22)                                                     complete performance of the generator can be evaluated
                                                                          provided the machine magnetizing characteristics are given
  ⎛          Y Y ⎞⎛           YY ⎞ ⎛      Y2 ⎞⎛    Y2 ⎞
  ⎜YG1 + Y0 − 1 2 ⎟⎜YG2 + Y0 − 1 2 ⎟ −⎜Y − 2 ⎟⎜Y2 − 1 ⎟ = 0
  ⎜                                ⎟
              Y0 ⎠⎜
                  ⎟            Y0 ⎠ ⎜     Y0 ⎟⎜    Y0 ⎟
                                        1
  ⎝                ⎝                  ⎝      ⎠⎝       ⎠                          IV EXPERIMENTAL RESULTS AND DISCUSSION
                                                        (23)                  Fig (5) and (6) respectively show the variation of the
This is the equation for Y-connected generator & Y-                       terminal voltage with rotor speed (rpm) for different values
connected network.                                                        of capacitance (i.e. 20, 45, 80, 108µF) when the test
C Special Cases                                                           machine was under no-load and star connected for balanced
                                                                          and unbalanced excitation (line excitation). It is noted that
   The above models are general and can be used for
                                                                          the no-load terminal voltage increases with speed for both
balanced and for any unbalanced conditions. In this paper,
                                                                          balanced and unbalanced excitation. The terminal voltage
the model for a Y-connected generator will be applied for
                                                                          is the highest at no-load and decreases as the machine is
some selected cases. However similar analysis may also be
                                                                          loaded with resistive load (balanced load). It is important to
carried out for Δ - connected generator and Δ - connected                 point out that the terminal voltage is sensitive to both C and
network.                                                                  the machine load. Similar sets of terminal voltage versus
 Balanced Network - Assume that, in fig (4), the network is               speed patterns for different values of C are observed in
balanced and Ya = Yb = Yc =Y from (1) Y0 = Y & Y1 = Y2 =                  literature also [8, 12 and 13]. Fig (7) shows the variation of
0.Therefore, from (23)                                                    stator current with rotor speed for different values of
                                                                          excitation capacitance ( i .e 20, 45, 80, 108 µF) when the
                    (YG1+ Y) (YG2 + Y) = 0                   (24)         test machine was under no load and star connected for
Which implies that either                                                 balanced excitation. It is noted that no load stator current
                                                                          increases with speed. Fig (8) shows that when the machine

                                                                     61
© 2010 ACEEE
DOI: 01.IJEPE.01.03.535
ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010



is loaded with R=450Ω, the stator current decreases with
increased load. It is clear from this figure that the value of
C has to be selected carefully because certain values of C
can result into excessive high value of Vt and stator current
which can cause over heating and may damage the machine
insulation. Similar sets of stator current versus speed
patterns for different values of C are observed in literature
also [8, 12 and 13]. Fig (9) and (10) shows the variation of
frequency with speed under no-load for C=80µF and
108µF. It is noted that the difference in C doesn’t affect the
frequency and depends mainly on speed. When the SEIG is
loaded then both speed and frequency decreases.

                       CONCLUSIONS
   The performance characteristics of an isolated, three-
phase, self-excited connected induction generator can be
predicted with accuracy under balanced or unbalanced
conditions. In general the performance characteristics are
strongly influenced by the value of C. Because the
induction generator is isolated, its stator frequency is free
to vary with the rotor speed and the operating slip remains
small. This in turn results in high efficiency. Due to their
simplicity, ruggedness and low cost of construction,
squirrel-cage induction machine is a relatively inexpensive
alternative to ac generation using wind power for voltage
and frequency insensitive loads.




                                                                                            LIST OF SYMBOLS
                                                                      f,v               =   Frequency and speed
                                                                      fb                =   Base frequency
                                                                      Zb                =   Base impedance
                                                                      Rs, R r, R        =   Stator, Rotor (referred to stator) and
                                                                                            load resistance respectively
                                                                      Xs, Xr, Xm , Xc   =   Stator , Rotor (referred to stator)
                                                                                            magnetizing and excitation
                                                                                            reactance at base frequency
                                                                                            respectively

                                                                 62
© 2010 ACEEE
DOI: 01.IJEPE.01.03.535
ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010



X, Xmax              =    Load and maximum magnetizing                                   induction generators,” Proc. IEE, Part C, Vol. 140,
                          reactance at base frequency                                    No. 1, pp. 49-55, 1993
                          respectively                                        [9]        AI-Bahrani, A.H; and Malik N.H., “Voltage
Cmin , Cmax          =    Minimum and maximum values of                                  control     of     parallel     operated    self-excited
                          excitation capacitance (μf)                                    induction generators,” IEEE Trans. On Energy
Is1, Ir1, Im1        =    Positive sequence stator, rotor                                Conversion, Vol.8, NO.2, pp. 236-242, 1993
                                                                              [10]       Bhattacharya,      J.L.,     and     Woodward,      J.L.
                          (referred to stator) and magnetizing
                                                                                         “Excitation balancing of a self-excited induction
                          currents resp.                                                 generator for maximum power output,” IEE          Proc.
Is2, Ir2, Im2        =    Negative sequence stator, rotor                     Part C, Vol. 135, No. 2, pp. 88-97, 1988
                          (referred to stator) and magnetizing                [11]       Rahim, Y.H.A., “Excitation of isolated three-     phase
                          currents resp.                                      induction generator by          a single capacitor,”         IEE
Vt1, Vg1             =     Positive sequence per phase                        Proc., Pt. B., Vol. 140, No. 1, pp. 44-50, 1993
                          generator terminal and air-gap                      [12]       AI-Bahrani, A.H., and Malik, N.H, “Steady state
                          voltages resp.                                                 analysis and performance characteristics of a three-
Vt2, Vg2             =    Negative sequence per phase                                    phase induction generator self-excited with a single
                          generator terminal and air-gap                                 capacitor,” IEEE Trans. on Energy Conversion, Vol. 5,
                          voltage resp.                                                  No. 4, pp. 725-732, 990.
YG1, YG2             =    Positive and negative sequence per                  [13]       A.H.      AI-Bahrani      “Analysis    of   self-excited
                          phase generator terminal admittances                           induction generators under unbalanced conditions.”
                          at base frequency resp                                         Electric Machine and Power Systems. vol 24.1996,
                             j
                                 2π
                                          −j
                                               2π                                        pp 117-129
a, a2            = e 3 and e 3 resp.                                          [14]       M.G.Say,       “Alternating      Current     Machines,”
                                                                                         Wiley, 1976
All parameters except Cmin and Cmax are in p.u
                                                                                                          APPENDIX A
                           REFERENCES
                                                                              Specification and parameters of Machine
[1]        R. Holland, “Appropriate technology - Rural
           electrification     in     developing      countries,”IEE             3-φ , 4-pole , 50Hz 400/440V, 8.5A, 50Hz, 4.5/6
           Review, 1989, vol. 35, no 7, pp 251-254                            kW/hp, 1440 rpm, star connected stator winding induction
[2]        S.S. Murthy, 0.P Malik. and A.K. Tandon. “Analysis of              machine RS = 0.068993, Rr = 0.012492, Xs = Xr =
           self excited induction generators,” IEE       Proceedings,         0.074575
           Part. C, vol. 129, No 6, 1982. pp.260-265.
[3]        G. Rains and 0 P. Malik, “Wind energy conversion                   Air-gap Voltage
           using a self-excited induction generator,” IEEE                    VG = 1.895-0.492 fXm             for 1.8936 < fXm2.27393
           Transactions on Power Apparatus and Systems. vol.
           102, no. 12, 1983, pp. 3933-3936.                                      =0                           for fXm < 1.8936
[4]        Elder, J.M, Boys, J.T., & Woodward, J.L. “Self-
           excited induction machines as a small low-cost
           generator,” Proc. IEE, Vol. 131, Part. C, No. 2, pp.
           33-41, 1984
[5]        AI-Bahrani, A.H., and Malik, N.H, “Selection of the
           excitation capacitor for dynamic braking of induction
           machines,” Proc. IEE, Vol. 140, Part. B, No. 1, pp. 1-6,
           1993
[6]        Doxey, B.C., “Theory and Application of the
           capacitor-excited       induction      generator,”     The
           Engineer, 216, pp. 893-897, 1963.
[7]        N.H. Malik and A.H. Al-Bahrani, “Influence of the
           terminal      capacitance      on     the     performance
           characteristics of elf-excited induction generator”,
           Proc. IEE, Vol. 137, Part C, No. 2, pp.168-173, 1990.
[8]        AI-Bahrani, A.H; and Malik N.H., “Steady-state                           Fiigure11. Variation of VG with fXm – a linear approximation
           analysis      of     parallel     operated     self-excited




                                                                         63
© 2010 ACEEE
DOI: 01.IJEPE.01.03.535

Weitere ähnliche Inhalte

Was ist angesagt?

A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...
A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...
A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...Alexander Decker
 
Modelling and Passivity-based Control of a Non Isolated DC-DC Converter in a...
Modelling and Passivity-based Control of a Non Isolated  DC-DC Converter in a...Modelling and Passivity-based Control of a Non Isolated  DC-DC Converter in a...
Modelling and Passivity-based Control of a Non Isolated DC-DC Converter in a...IJECEIAES
 
Emulated reactance and resistance by a SSSC incorporating energy storage device
Emulated reactance and resistance by a SSSC incorporating energy storage deviceEmulated reactance and resistance by a SSSC incorporating energy storage device
Emulated reactance and resistance by a SSSC incorporating energy storage deviceIJECEIAES
 
Hybrid Energy System using Non Isolated Dc –Dc Converter
Hybrid Energy System using Non Isolated Dc –Dc ConverterHybrid Energy System using Non Isolated Dc –Dc Converter
Hybrid Energy System using Non Isolated Dc –Dc ConverterIRJET Journal
 
A Hybrid DC-DC Converter for Standalone Applications
A Hybrid DC-DC Converter for Standalone ApplicationsA Hybrid DC-DC Converter for Standalone Applications
A Hybrid DC-DC Converter for Standalone ApplicationsIRJET Journal
 
Dual output DC-DC quasi impedance source converter
Dual output DC-DC quasi impedance source converterDual output DC-DC quasi impedance source converter
Dual output DC-DC quasi impedance source converterIJECEIAES
 
SIMULATION AND ANALYSIS OF DIFFERENT MPPT ALGORITHMS FOR PV SYSTEM
SIMULATION AND ANALYSIS OF DIFFERENT MPPT ALGORITHMS FOR PV SYSTEMSIMULATION AND ANALYSIS OF DIFFERENT MPPT ALGORITHMS FOR PV SYSTEM
SIMULATION AND ANALYSIS OF DIFFERENT MPPT ALGORITHMS FOR PV SYSTEMIAEME Publication
 
Benchmarking study between capacitive and electronic load technic to track I-...
Benchmarking study between capacitive and electronic load technic to track I-...Benchmarking study between capacitive and electronic load technic to track I-...
Benchmarking study between capacitive and electronic load technic to track I-...IJECEIAES
 
Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...
Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...
Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...IOSR Journals
 
IMPEDANCE SOURCE INVERTER TOPOLOGIES FOR PHOTOVOLTAIC APPLICATIONS – A REVIEW
IMPEDANCE SOURCE INVERTER TOPOLOGIES FOR PHOTOVOLTAIC APPLICATIONS – A REVIEWIMPEDANCE SOURCE INVERTER TOPOLOGIES FOR PHOTOVOLTAIC APPLICATIONS – A REVIEW
IMPEDANCE SOURCE INVERTER TOPOLOGIES FOR PHOTOVOLTAIC APPLICATIONS – A REVIEWIAEME Publication
 
Photovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic
Photovoltaic System with SEPIC Converter Controlled by the Fuzzy LogicPhotovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic
Photovoltaic System with SEPIC Converter Controlled by the Fuzzy LogicIAES-IJPEDS
 
Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...IJECEIAES
 
Performance enhancement of DC/DC converters for solar powered EV
Performance enhancement of DC/DC converters for solar powered EV Performance enhancement of DC/DC converters for solar powered EV
Performance enhancement of DC/DC converters for solar powered EV IJECEIAES
 
Hybrid Particle Swarm Optimization for Multi-objective Reactive Power Optimiz...
Hybrid Particle Swarm Optimization for Multi-objective Reactive Power Optimiz...Hybrid Particle Swarm Optimization for Multi-objective Reactive Power Optimiz...
Hybrid Particle Swarm Optimization for Multi-objective Reactive Power Optimiz...IDES Editor
 
VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Con...
VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Con...VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Con...
VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Con...IJECEIAES
 
Dynamic model of zeta converter with full state
Dynamic model of zeta converter with full stateDynamic model of zeta converter with full state
Dynamic model of zeta converter with full stateeSAT Publishing House
 

Was ist angesagt? (19)

A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...
A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...
A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...
 
Modelling and Passivity-based Control of a Non Isolated DC-DC Converter in a...
Modelling and Passivity-based Control of a Non Isolated  DC-DC Converter in a...Modelling and Passivity-based Control of a Non Isolated  DC-DC Converter in a...
Modelling and Passivity-based Control of a Non Isolated DC-DC Converter in a...
 
Emulated reactance and resistance by a SSSC incorporating energy storage device
Emulated reactance and resistance by a SSSC incorporating energy storage deviceEmulated reactance and resistance by a SSSC incorporating energy storage device
Emulated reactance and resistance by a SSSC incorporating energy storage device
 
Ie2514631473
Ie2514631473Ie2514631473
Ie2514631473
 
Hybrid Energy System using Non Isolated Dc –Dc Converter
Hybrid Energy System using Non Isolated Dc –Dc ConverterHybrid Energy System using Non Isolated Dc –Dc Converter
Hybrid Energy System using Non Isolated Dc –Dc Converter
 
A Hybrid DC-DC Converter for Standalone Applications
A Hybrid DC-DC Converter for Standalone ApplicationsA Hybrid DC-DC Converter for Standalone Applications
A Hybrid DC-DC Converter for Standalone Applications
 
Dual output DC-DC quasi impedance source converter
Dual output DC-DC quasi impedance source converterDual output DC-DC quasi impedance source converter
Dual output DC-DC quasi impedance source converter
 
SIMULATION AND ANALYSIS OF DIFFERENT MPPT ALGORITHMS FOR PV SYSTEM
SIMULATION AND ANALYSIS OF DIFFERENT MPPT ALGORITHMS FOR PV SYSTEMSIMULATION AND ANALYSIS OF DIFFERENT MPPT ALGORITHMS FOR PV SYSTEM
SIMULATION AND ANALYSIS OF DIFFERENT MPPT ALGORITHMS FOR PV SYSTEM
 
Benchmarking study between capacitive and electronic load technic to track I-...
Benchmarking study between capacitive and electronic load technic to track I-...Benchmarking study between capacitive and electronic load technic to track I-...
Benchmarking study between capacitive and electronic load technic to track I-...
 
Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...
Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...
Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...
 
IMPEDANCE SOURCE INVERTER TOPOLOGIES FOR PHOTOVOLTAIC APPLICATIONS – A REVIEW
IMPEDANCE SOURCE INVERTER TOPOLOGIES FOR PHOTOVOLTAIC APPLICATIONS – A REVIEWIMPEDANCE SOURCE INVERTER TOPOLOGIES FOR PHOTOVOLTAIC APPLICATIONS – A REVIEW
IMPEDANCE SOURCE INVERTER TOPOLOGIES FOR PHOTOVOLTAIC APPLICATIONS – A REVIEW
 
Photovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic
Photovoltaic System with SEPIC Converter Controlled by the Fuzzy LogicPhotovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic
Photovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic
 
Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...
 
Development of PV array configuration under different partial shading condition
Development of PV array configuration under different partial shading conditionDevelopment of PV array configuration under different partial shading condition
Development of PV array configuration under different partial shading condition
 
Modeling and simulation of DC to DC boost converter using single phase matrix...
Modeling and simulation of DC to DC boost converter using single phase matrix...Modeling and simulation of DC to DC boost converter using single phase matrix...
Modeling and simulation of DC to DC boost converter using single phase matrix...
 
Performance enhancement of DC/DC converters for solar powered EV
Performance enhancement of DC/DC converters for solar powered EV Performance enhancement of DC/DC converters for solar powered EV
Performance enhancement of DC/DC converters for solar powered EV
 
Hybrid Particle Swarm Optimization for Multi-objective Reactive Power Optimiz...
Hybrid Particle Swarm Optimization for Multi-objective Reactive Power Optimiz...Hybrid Particle Swarm Optimization for Multi-objective Reactive Power Optimiz...
Hybrid Particle Swarm Optimization for Multi-objective Reactive Power Optimiz...
 
VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Con...
VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Con...VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Con...
VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Con...
 
Dynamic model of zeta converter with full state
Dynamic model of zeta converter with full stateDynamic model of zeta converter with full state
Dynamic model of zeta converter with full state
 

Ähnlich wie Analysis of Self-Excited Induction Generator under Balanced or Unbalanced Conditions

Performance investigation of stand-alone induction generator based on STATCOM...
Performance investigation of stand-alone induction generator based on STATCOM...Performance investigation of stand-alone induction generator based on STATCOM...
Performance investigation of stand-alone induction generator based on STATCOM...IJECEIAES
 
The Self Excited Induction Generator with Observation Magnetizing Characteris...
The Self Excited Induction Generator with Observation Magnetizing Characteris...The Self Excited Induction Generator with Observation Magnetizing Characteris...
The Self Excited Induction Generator with Observation Magnetizing Characteris...IJPEDS-IAES
 
SIMULATION AND ASSESSMENT OF SINGLE PHASE SEMI-Z-SOURCE INVERTER (S-ZSI)
SIMULATION AND ASSESSMENT OF SINGLE PHASE SEMI-Z-SOURCE INVERTER (S-ZSI)SIMULATION AND ASSESSMENT OF SINGLE PHASE SEMI-Z-SOURCE INVERTER (S-ZSI)
SIMULATION AND ASSESSMENT OF SINGLE PHASE SEMI-Z-SOURCE INVERTER (S-ZSI)IAEME Publication
 
Interturn short circuit analysis in an induction machine by fem
Interturn short circuit analysis in an induction machine by femInterturn short circuit analysis in an induction machine by fem
Interturn short circuit analysis in an induction machine by femDarío Díaz
 
1.firefly algorithm based reactive power control of an isolated wind diesel h...
1.firefly algorithm based reactive power control of an isolated wind diesel h...1.firefly algorithm based reactive power control of an isolated wind diesel h...
1.firefly algorithm based reactive power control of an isolated wind diesel h...EditorJST
 
Matlab Based Analysis of 3-Ø Self-Excited Induction Generator with Nonlinear ...
Matlab Based Analysis of 3-Ø Self-Excited Induction Generator with Nonlinear ...Matlab Based Analysis of 3-Ø Self-Excited Induction Generator with Nonlinear ...
Matlab Based Analysis of 3-Ø Self-Excited Induction Generator with Nonlinear ...IOSR Journals
 
Sharing of the Output Current of A Voltage Source Inverter between Controlled...
Sharing of the Output Current of A Voltage Source Inverter between Controlled...Sharing of the Output Current of A Voltage Source Inverter between Controlled...
Sharing of the Output Current of A Voltage Source Inverter between Controlled...IDES Editor
 
Operational performance of a PV generator feeding DC shunt and induction moto...
Operational performance of a PV generator feeding DC shunt and induction moto...Operational performance of a PV generator feeding DC shunt and induction moto...
Operational performance of a PV generator feeding DC shunt and induction moto...IJECEIAES
 
The Camparison of Harmonic Distortion Self-Excited Induction Generator with I...
The Camparison of Harmonic Distortion Self-Excited Induction Generator with I...The Camparison of Harmonic Distortion Self-Excited Induction Generator with I...
The Camparison of Harmonic Distortion Self-Excited Induction Generator with I...IJPEDS-IAES
 
Analysis of Impedance Source Inverter Topologies for Grid Integration of PV I...
Analysis of Impedance Source Inverter Topologies for Grid Integration of PV I...Analysis of Impedance Source Inverter Topologies for Grid Integration of PV I...
Analysis of Impedance Source Inverter Topologies for Grid Integration of PV I...IJPEDS-IAES
 
Analysis and Control of Wind Driven Self-Excited Induction Generator for Isol...
Analysis and Control of Wind Driven Self-Excited Induction Generator for Isol...Analysis and Control of Wind Driven Self-Excited Induction Generator for Isol...
Analysis and Control of Wind Driven Self-Excited Induction Generator for Isol...IDES Editor
 
Closed Loop Controlled Solar Cell Powered Embedded EZ-Source Inverter fed Ind...
Closed Loop Controlled Solar Cell Powered Embedded EZ-Source Inverter fed Ind...Closed Loop Controlled Solar Cell Powered Embedded EZ-Source Inverter fed Ind...
Closed Loop Controlled Solar Cell Powered Embedded EZ-Source Inverter fed Ind...IDES Editor
 
Fault Ride-Through capability of DSTATCOM for Distributed Wind Generation System
Fault Ride-Through capability of DSTATCOM for Distributed Wind Generation SystemFault Ride-Through capability of DSTATCOM for Distributed Wind Generation System
Fault Ride-Through capability of DSTATCOM for Distributed Wind Generation SystemIJPEDS-IAES
 
SINGLE-DIODE AND TWO-DIODE PV CELL MODELING USING MATLAB FOR STUDYING CHARACT...
SINGLE-DIODE AND TWO-DIODE PV CELL MODELING USING MATLAB FOR STUDYING CHARACT...SINGLE-DIODE AND TWO-DIODE PV CELL MODELING USING MATLAB FOR STUDYING CHARACT...
SINGLE-DIODE AND TWO-DIODE PV CELL MODELING USING MATLAB FOR STUDYING CHARACT...ecij
 
Adoption of Park’s Transformation for Inverter Fed Drive
Adoption of Park’s Transformation for Inverter Fed DriveAdoption of Park’s Transformation for Inverter Fed Drive
Adoption of Park’s Transformation for Inverter Fed DriveIJPEDS-IAES
 
Advanced Micro-Grids
Advanced Micro-Grids Advanced Micro-Grids
Advanced Micro-Grids IJMER
 

Ähnlich wie Analysis of Self-Excited Induction Generator under Balanced or Unbalanced Conditions (20)

Performance investigation of stand-alone induction generator based on STATCOM...
Performance investigation of stand-alone induction generator based on STATCOM...Performance investigation of stand-alone induction generator based on STATCOM...
Performance investigation of stand-alone induction generator based on STATCOM...
 
The Self Excited Induction Generator with Observation Magnetizing Characteris...
The Self Excited Induction Generator with Observation Magnetizing Characteris...The Self Excited Induction Generator with Observation Magnetizing Characteris...
The Self Excited Induction Generator with Observation Magnetizing Characteris...
 
SIMULATION AND ASSESSMENT OF SINGLE PHASE SEMI-Z-SOURCE INVERTER (S-ZSI)
SIMULATION AND ASSESSMENT OF SINGLE PHASE SEMI-Z-SOURCE INVERTER (S-ZSI)SIMULATION AND ASSESSMENT OF SINGLE PHASE SEMI-Z-SOURCE INVERTER (S-ZSI)
SIMULATION AND ASSESSMENT OF SINGLE PHASE SEMI-Z-SOURCE INVERTER (S-ZSI)
 
Interturn short circuit analysis in an induction machine by fem
Interturn short circuit analysis in an induction machine by femInterturn short circuit analysis in an induction machine by fem
Interturn short circuit analysis in an induction machine by fem
 
40220130406002
4022013040600240220130406002
40220130406002
 
1.firefly algorithm based reactive power control of an isolated wind diesel h...
1.firefly algorithm based reactive power control of an isolated wind diesel h...1.firefly algorithm based reactive power control of an isolated wind diesel h...
1.firefly algorithm based reactive power control of an isolated wind diesel h...
 
Analysis and Impact of D-STATCOM, Static Var Compensator, Fuzzy Based SVC Con...
Analysis and Impact of D-STATCOM, Static Var Compensator, Fuzzy Based SVC Con...Analysis and Impact of D-STATCOM, Static Var Compensator, Fuzzy Based SVC Con...
Analysis and Impact of D-STATCOM, Static Var Compensator, Fuzzy Based SVC Con...
 
Matlab Based Analysis of 3-Ø Self-Excited Induction Generator with Nonlinear ...
Matlab Based Analysis of 3-Ø Self-Excited Induction Generator with Nonlinear ...Matlab Based Analysis of 3-Ø Self-Excited Induction Generator with Nonlinear ...
Matlab Based Analysis of 3-Ø Self-Excited Induction Generator with Nonlinear ...
 
Double star induction machine using nonlinear integral backstepping control
Double star induction machine using nonlinear integral backstepping controlDouble star induction machine using nonlinear integral backstepping control
Double star induction machine using nonlinear integral backstepping control
 
Sharing of the Output Current of A Voltage Source Inverter between Controlled...
Sharing of the Output Current of A Voltage Source Inverter between Controlled...Sharing of the Output Current of A Voltage Source Inverter between Controlled...
Sharing of the Output Current of A Voltage Source Inverter between Controlled...
 
Operational performance of a PV generator feeding DC shunt and induction moto...
Operational performance of a PV generator feeding DC shunt and induction moto...Operational performance of a PV generator feeding DC shunt and induction moto...
Operational performance of a PV generator feeding DC shunt and induction moto...
 
Multiple Inverters Operated in Parallel for Proportional Load Sharing in Micr...
Multiple Inverters Operated in Parallel for Proportional Load Sharing in Micr...Multiple Inverters Operated in Parallel for Proportional Load Sharing in Micr...
Multiple Inverters Operated in Parallel for Proportional Load Sharing in Micr...
 
The Camparison of Harmonic Distortion Self-Excited Induction Generator with I...
The Camparison of Harmonic Distortion Self-Excited Induction Generator with I...The Camparison of Harmonic Distortion Self-Excited Induction Generator with I...
The Camparison of Harmonic Distortion Self-Excited Induction Generator with I...
 
Analysis of Impedance Source Inverter Topologies for Grid Integration of PV I...
Analysis of Impedance Source Inverter Topologies for Grid Integration of PV I...Analysis of Impedance Source Inverter Topologies for Grid Integration of PV I...
Analysis of Impedance Source Inverter Topologies for Grid Integration of PV I...
 
Analysis and Control of Wind Driven Self-Excited Induction Generator for Isol...
Analysis and Control of Wind Driven Self-Excited Induction Generator for Isol...Analysis and Control of Wind Driven Self-Excited Induction Generator for Isol...
Analysis and Control of Wind Driven Self-Excited Induction Generator for Isol...
 
Closed Loop Controlled Solar Cell Powered Embedded EZ-Source Inverter fed Ind...
Closed Loop Controlled Solar Cell Powered Embedded EZ-Source Inverter fed Ind...Closed Loop Controlled Solar Cell Powered Embedded EZ-Source Inverter fed Ind...
Closed Loop Controlled Solar Cell Powered Embedded EZ-Source Inverter fed Ind...
 
Fault Ride-Through capability of DSTATCOM for Distributed Wind Generation System
Fault Ride-Through capability of DSTATCOM for Distributed Wind Generation SystemFault Ride-Through capability of DSTATCOM for Distributed Wind Generation System
Fault Ride-Through capability of DSTATCOM for Distributed Wind Generation System
 
SINGLE-DIODE AND TWO-DIODE PV CELL MODELING USING MATLAB FOR STUDYING CHARACT...
SINGLE-DIODE AND TWO-DIODE PV CELL MODELING USING MATLAB FOR STUDYING CHARACT...SINGLE-DIODE AND TWO-DIODE PV CELL MODELING USING MATLAB FOR STUDYING CHARACT...
SINGLE-DIODE AND TWO-DIODE PV CELL MODELING USING MATLAB FOR STUDYING CHARACT...
 
Adoption of Park’s Transformation for Inverter Fed Drive
Adoption of Park’s Transformation for Inverter Fed DriveAdoption of Park’s Transformation for Inverter Fed Drive
Adoption of Park’s Transformation for Inverter Fed Drive
 
Advanced Micro-Grids
Advanced Micro-Grids Advanced Micro-Grids
Advanced Micro-Grids
 

Mehr von IDES Editor

Power System State Estimation - A Review
Power System State Estimation - A ReviewPower System State Estimation - A Review
Power System State Estimation - A ReviewIDES Editor
 
Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...IDES Editor
 
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...IDES Editor
 
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...IDES Editor
 
Line Losses in the 14-Bus Power System Network using UPFC
Line Losses in the 14-Bus Power System Network using UPFCLine Losses in the 14-Bus Power System Network using UPFC
Line Losses in the 14-Bus Power System Network using UPFCIDES Editor
 
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...IDES Editor
 
Assessing Uncertainty of Pushover Analysis to Geometric Modeling
Assessing Uncertainty of Pushover Analysis to Geometric ModelingAssessing Uncertainty of Pushover Analysis to Geometric Modeling
Assessing Uncertainty of Pushover Analysis to Geometric ModelingIDES Editor
 
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...IDES Editor
 
Selfish Node Isolation & Incentivation using Progressive Thresholds
Selfish Node Isolation & Incentivation using Progressive ThresholdsSelfish Node Isolation & Incentivation using Progressive Thresholds
Selfish Node Isolation & Incentivation using Progressive ThresholdsIDES Editor
 
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
 
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...IDES Editor
 
Cloud Security and Data Integrity with Client Accountability Framework
Cloud Security and Data Integrity with Client Accountability FrameworkCloud Security and Data Integrity with Client Accountability Framework
Cloud Security and Data Integrity with Client Accountability FrameworkIDES Editor
 
Genetic Algorithm based Layered Detection and Defense of HTTP Botnet
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetGenetic Algorithm based Layered Detection and Defense of HTTP Botnet
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetIDES Editor
 
Enhancing Data Storage Security in Cloud Computing Through Steganography
Enhancing Data Storage Security in Cloud Computing Through SteganographyEnhancing Data Storage Security in Cloud Computing Through Steganography
Enhancing Data Storage Security in Cloud Computing Through SteganographyIDES Editor
 
Low Energy Routing for WSN’s
Low Energy Routing for WSN’sLow Energy Routing for WSN’s
Low Energy Routing for WSN’sIDES Editor
 
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...IDES Editor
 
Rotman Lens Performance Analysis
Rotman Lens Performance AnalysisRotman Lens Performance Analysis
Rotman Lens Performance AnalysisIDES Editor
 
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesBand Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesIDES Editor
 
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...IDES Editor
 
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...IDES Editor
 

Mehr von IDES Editor (20)

Power System State Estimation - A Review
Power System State Estimation - A ReviewPower System State Estimation - A Review
Power System State Estimation - A Review
 
Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...
 
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
 
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
 
Line Losses in the 14-Bus Power System Network using UPFC
Line Losses in the 14-Bus Power System Network using UPFCLine Losses in the 14-Bus Power System Network using UPFC
Line Losses in the 14-Bus Power System Network using UPFC
 
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
 
Assessing Uncertainty of Pushover Analysis to Geometric Modeling
Assessing Uncertainty of Pushover Analysis to Geometric ModelingAssessing Uncertainty of Pushover Analysis to Geometric Modeling
Assessing Uncertainty of Pushover Analysis to Geometric Modeling
 
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
 
Selfish Node Isolation & Incentivation using Progressive Thresholds
Selfish Node Isolation & Incentivation using Progressive ThresholdsSelfish Node Isolation & Incentivation using Progressive Thresholds
Selfish Node Isolation & Incentivation using Progressive Thresholds
 
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
 
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
 
Cloud Security and Data Integrity with Client Accountability Framework
Cloud Security and Data Integrity with Client Accountability FrameworkCloud Security and Data Integrity with Client Accountability Framework
Cloud Security and Data Integrity with Client Accountability Framework
 
Genetic Algorithm based Layered Detection and Defense of HTTP Botnet
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetGenetic Algorithm based Layered Detection and Defense of HTTP Botnet
Genetic Algorithm based Layered Detection and Defense of HTTP Botnet
 
Enhancing Data Storage Security in Cloud Computing Through Steganography
Enhancing Data Storage Security in Cloud Computing Through SteganographyEnhancing Data Storage Security in Cloud Computing Through Steganography
Enhancing Data Storage Security in Cloud Computing Through Steganography
 
Low Energy Routing for WSN’s
Low Energy Routing for WSN’sLow Energy Routing for WSN’s
Low Energy Routing for WSN’s
 
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
 
Rotman Lens Performance Analysis
Rotman Lens Performance AnalysisRotman Lens Performance Analysis
Rotman Lens Performance Analysis
 
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesBand Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
 
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
 
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
 

Kürzlich hochgeladen

Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...apidays
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024The Digital Insurer
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024The Digital Insurer
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 

Kürzlich hochgeladen (20)

Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 

Analysis of Self-Excited Induction Generator under Balanced or Unbalanced Conditions

  • 1. ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010 Analysis of Self-Excited Induction Generator under Balanced or Unbalanced Conditions Shakuntla BOORA YMCA University of Science and Technology, Department of Electrical Engineering, Faridabad -121002, INDIA Email:shaku_boora@yahoo.com Abstract: This paper presents mathematical models for three-phase SEIG under balanced or unbalanced excitation various generator-load configurations that accurately [13]. determine the conditions for self-excitation and performance characteristics of an isolated , three-phase, self-excited II. PROPOSED MODELS induction generator operating under balanced or unbalanced conditions .These models are derived using symmetrical Consider a 3-φ induction machine connected to a 3-φ component theory along with the generator sequence network consisting of excitation capacitors with or without equivalent circuits. Using this technique a 4.5kW, 400/440V, a parallel load. The machine may have star or delta four poles, three-phase induction motor operated as a SEIG is analysed under different balanced or unbalanced connected windings. Similarly, the network may be connected in either star or delta. Further, this network may configuration. be either balanced or unbalanced. For a given configuration Key Words: Induction generator, self-excited, steady state (star or delta) of the generator & the load, the method of symmetrical components can be used to analyze the analysis, unbalanced. performance of the system. 1. INTRODUCTION Sequence equivalent circuits The positive and negative sequence equivalent network The self-excited induction generator (SEIG) has of a SEIG [14] is shown below in fig. (1) attracted considerable recent attention due to its applicability as a stand-alone generator using different conventional and non-conventional energy resources with its advantage over the conventional synchronous generator. .Due to the research of renewable energy resources and isolated power systems, the SEIG become one of the most important renewable sources in developing countries [1- 4].Besides application as a generator, the principle of self- excitation can also be used for dynamic braking of three phase induction motors [5]. Many papers have discussed (a) Positive Sequence analysis of three-phase balanced operation of isolated and parallel operated self-excited induction generator [6-10]. However, the unbalanced operations of such generators have been given comparatively little attention. This mode of operation may sometimes be of interest for various small-scale applications where either balanced conditions are not necessary or difficult to achieve. Certain specific cases of unbalanced conditions in a SEIG have been discussed in several papers [4& 9-11]. However, no general (b) Negative Sequence method of analysis for the unbalanced mode of operation of the SEIG is available. For single-phase system, the single – Figure 1 Sequence equivalent circuits of a SEIG phase SEIG could be used with advantage. However, when the power requirements of the remote area are higher than A Delta Connected Generator the normal available ratings of single-phase induction Let us assume that a 3-φ delta connected induction machine have to be constructed to tailor made needs and machine is connected across a 3-φ delta connected network this may prove to be expensive .As an alternative, the having admittances Yab, Ybc & Yca as shown in fig (2). Each three-phase SEIG can be used as a single-phase generator branch of the delta network may consist of an excitation [11&12]. Used thus, the system may work out to be lesser capacitor in parallel with a general load as shown in fig in cost than the specially designed single-phase SEIG of (3.3) for a-b branch. equivalent capacity. This paper presents general . mathematical models that determine the conditions of self- excitation and performance characteristics of an isolated, 59 © 2010 ACEEE DOI: 01.IJEPE.01.03.535
  • 2. ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010 I a 2 = (1 − a 2 ) (Y1 Vab 1 + Y0 Vab 2 ) L (6) From the sequence networks of fig (1), the generator sequence currents are given by Is1 = – YG1Vt1 and Is2 = – YG2 Vt2 Since in fig (2), the generator is Δ-connected, the positive and negative sequence components of the generator line currents are given as: I G 1 = (1 − a ) Is 1 = −(1 − a )YG1 Vt1 Figure2. Delta connection of a SEIG & load-excitation capacitors a (7) I G 2 = (1 − a 2 ) Is 2 = −(1 − a 2 )YG 2 Vt 2 a (8) From terminal conditions, Ia 1 = IG1 & Ia 2 = IG 2 L a L a (9) Moreover, for the Δ-connected generator, the phase & the Figure3. Equivalent circuits of a-b branch line voltages are equal Z = R + jf X for R-L load ∴ Vt1 = Vab1 & Vt2 = Vab2 (10) jX From (9) & (10) Z=R- for R-C load f (Y0 + YG1) Vt1 = - Y2 Vt2 (11) The method of symmetrical components can be used to resolve the unbalanced admittances of the network of fig Y1 Vt1 = - (YG2 + Y0) Vt2 (12) (2) into a set of sequence admittances as follows: After dividing (11) by (12), we get ⎛ Yo ⎞ ⎛1 1 1⎞ ⎛ Yab ⎞ (YG1 + Y0) (YG2 + Y0) – Y1 Y2 = 0 (13) ⎜ ⎟ 1 ⎜ ⎟ ⎜ ⎟ ⎜ Y1 ⎟ = ⎜1 a a2 ⎟ ⎜ Ybc ⎟ (1) This is the equation for Δ - connected generator and Δ - ⎜ Y ⎟ 3 ⎜1 a 2 a⎟ ⎜Y ⎟ connected network. ⎝ 2⎠ ⎝ ⎠ ⎝ ca ⎠ B Star Connected Generator with No Neutral Connection In fig (2), the phase currents IabL, IbcL & IcaL can be Consider a 3-φ Y-connected induction machine related to the phase voltages and admittances. By using connected across a 3-φ Y-connected network as shown symmetrical components transformations, these phase below currents can be resolved into their sequence components as ⎛ L ⎞ ⎜ I abo ⎟ ⎛Y Y2 Y 1 ⎞ ⎛ V abo ⎞ ⎜ L ⎟ ⎜ 0 ⎟⎜ ⎟ (2) ⎜ I ab 1 ⎟ = ⎜ Y1 Y0 Y 2 ⎟ ⎜ v ab 1 ⎟ ⎜ L ⎟ ⎜ ⎜ I ab 2 ⎟ ⎝ Y2 Y1 Y 0 ⎟ ⎜ V ab 2 ⎠⎝ ⎟ ⎠ ⎝ ⎠ As in a delta connected passive network, there is no zero sequence voltage i.e.Vabo = 0. Thus, the positive and Figure4. Star connection of a SEIG and load-excitation capacitors. negative sequence components of the line & the phase load currents are related by Let Y0, Y1, Y2 represent the sequence admittance components of Ya, Yb & Yc. The current IaL, IbL and IcL can Ia lL = (1 − a ) I ab1 (3) be related to the load phase voltages and admittances. Using symmetrical components theory, these currents can Ia L = (1 − a 2 ) I ab 2 2 (4) be resolved into their sequence components as follows: L Since, for the circuit of fig. (4), I a 0 = 0, From (2) Iab1 = Y0Vab1 + Y2Vab2, Iab2 = Y1Vab1 + Y0Vab2 Van0 = (Y2 Van1 + Y1 Van2)/Y0 (14) Therefore, Consequently, I a l = (1 − a ) (Y0 Vab 1 + Y2 Vab 2 ) L (5) 60 © 2010 ACEEE DOI: 01.IJEPE.01.03.535
  • 3. ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010 ⎛ YY ⎞ ⎛ Y2 ⎞ YG1 + Y = 0 (25) I a 1 = ⎜ Y0 − 1 2 ⎟ Van1 + ⎜ Y2 − 1 ⎟ Van 2 L ⎜ Y0 ⎟ ⎜ Y0 ⎟ (15) Or YG2 + Y = 0 (26) ⎝ ⎠ ⎝ ⎠ It is noted that (25) also offers the feasible solution ⎛ Y2 ⎞ ⎛ YY ⎞ which represents the balanced operation of SEIG [2, 3]. L Ia 2 = ⎜ Y1 − 2 ⎟ Van1 + ⎜ Y0 − 1 2 ⎟ Van2 ⎜ ⎟ ⎜ Y0 ⎟ (16) Two phases open - Suppose that there is only one ⎝ Y0 ⎠ ⎝ ⎠ excitation capacitor is parallel with a load i.e. Ya = Y and However, the generator sequence currents are given as Yb = Yc = 0 .Therefore Y0 = Y1 = Y2 = Y/3. Hence (21) reduces to I G 1 = - YG1 Vam1 a (17) YG1 YG2 = 0 (27) The above equation can be represented by connecting IG 2 = - YG2 Vam2 a (18) positive and negative sequence equivalent circuit in It is noted that the generator and the load phase voltages parallel. may not be equal under unbalanced conditions. However, the generator and the load line voltages are equal regardless III METHOD OF SOLUTION of the degree of unbalance. Equation (13) & (23) represent the conditions that must Sequence components of the phase and line voltages of be satisfied for the self-excitation of the induction machine the generator and load are related as corresponding to various generator & load configurations Vab1 = (1-a2) Van1 = (1-a2) Vam1 (19) as discussed above. Each of these equations is complex and non-linear which can be expressed as two simultaneous Vab2 = (1-a) Van2 = (1-a) Vam2 (20) real, nonlinear equations with two unknowns. Such Hence Van1 = Vam1 & Van2 = Vam2 equations can be solved using any suitable technique Also, from fig (4) (Symbolic Mathematics in MATLAB). If the values of the machine parameters, its speed (or frequency), excitation I G1 = I a 1 , I G 2 = I a 2 a L a L capacitance as well as load impedances are given, the two equations can be solved for the magnetizing reactance and Therefore, frequency (or speed). On the other hand, if the interest is to ⎛ find the range of terminal capacitances to sustain self- YY ⎞ ⎛ Y2 ⎞ ⎜ YG1 + Y0 − 1 2 ⎟ Van1 = −⎜ Y2 − 1 ⎟Van 2 (21) ⎜ ⎟ ⎜ excitation, the two equations can be solved for the ⎝ Y0 ⎠ ⎝ Y0 ⎟ ⎠ frequency (or speed ) and these capacitances by specifying the machine parameters, its speed (or frequency), load ⎛ Y2 ⎞ ⎛ YY ⎞ impedances and the maximum magnetizing reactance, Xmax ⎜ Y1 − 2 ⎜ ⎟ Van1 = −⎜ YG 2 + Y0 − 1 2 ⎟Van 2 (22) ⎟ ⎜ ⎝ Y0 ⎠ ⎝ Y0 ⎟⎠ .Consequently, Xm = Xmax represents the critical conditions for self-excitation. Once Xm, f and v are known, the Dividing (21) by (22) complete performance of the generator can be evaluated provided the machine magnetizing characteristics are given ⎛ Y Y ⎞⎛ YY ⎞ ⎛ Y2 ⎞⎛ Y2 ⎞ ⎜YG1 + Y0 − 1 2 ⎟⎜YG2 + Y0 − 1 2 ⎟ −⎜Y − 2 ⎟⎜Y2 − 1 ⎟ = 0 ⎜ ⎟ Y0 ⎠⎜ ⎟ Y0 ⎠ ⎜ Y0 ⎟⎜ Y0 ⎟ 1 ⎝ ⎝ ⎝ ⎠⎝ ⎠ IV EXPERIMENTAL RESULTS AND DISCUSSION (23) Fig (5) and (6) respectively show the variation of the This is the equation for Y-connected generator & Y- terminal voltage with rotor speed (rpm) for different values connected network. of capacitance (i.e. 20, 45, 80, 108µF) when the test C Special Cases machine was under no-load and star connected for balanced and unbalanced excitation (line excitation). It is noted that The above models are general and can be used for the no-load terminal voltage increases with speed for both balanced and for any unbalanced conditions. In this paper, balanced and unbalanced excitation. The terminal voltage the model for a Y-connected generator will be applied for is the highest at no-load and decreases as the machine is some selected cases. However similar analysis may also be loaded with resistive load (balanced load). It is important to carried out for Δ - connected generator and Δ - connected point out that the terminal voltage is sensitive to both C and network. the machine load. Similar sets of terminal voltage versus Balanced Network - Assume that, in fig (4), the network is speed patterns for different values of C are observed in balanced and Ya = Yb = Yc =Y from (1) Y0 = Y & Y1 = Y2 = literature also [8, 12 and 13]. Fig (7) shows the variation of 0.Therefore, from (23) stator current with rotor speed for different values of excitation capacitance ( i .e 20, 45, 80, 108 µF) when the (YG1+ Y) (YG2 + Y) = 0 (24) test machine was under no load and star connected for Which implies that either balanced excitation. It is noted that no load stator current increases with speed. Fig (8) shows that when the machine 61 © 2010 ACEEE DOI: 01.IJEPE.01.03.535
  • 4. ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010 is loaded with R=450Ω, the stator current decreases with increased load. It is clear from this figure that the value of C has to be selected carefully because certain values of C can result into excessive high value of Vt and stator current which can cause over heating and may damage the machine insulation. Similar sets of stator current versus speed patterns for different values of C are observed in literature also [8, 12 and 13]. Fig (9) and (10) shows the variation of frequency with speed under no-load for C=80µF and 108µF. It is noted that the difference in C doesn’t affect the frequency and depends mainly on speed. When the SEIG is loaded then both speed and frequency decreases. CONCLUSIONS The performance characteristics of an isolated, three- phase, self-excited connected induction generator can be predicted with accuracy under balanced or unbalanced conditions. In general the performance characteristics are strongly influenced by the value of C. Because the induction generator is isolated, its stator frequency is free to vary with the rotor speed and the operating slip remains small. This in turn results in high efficiency. Due to their simplicity, ruggedness and low cost of construction, squirrel-cage induction machine is a relatively inexpensive alternative to ac generation using wind power for voltage and frequency insensitive loads. LIST OF SYMBOLS f,v = Frequency and speed fb = Base frequency Zb = Base impedance Rs, R r, R = Stator, Rotor (referred to stator) and load resistance respectively Xs, Xr, Xm , Xc = Stator , Rotor (referred to stator) magnetizing and excitation reactance at base frequency respectively 62 © 2010 ACEEE DOI: 01.IJEPE.01.03.535
  • 5. ACEEE Int. J. on Electrical and Power Engineering, Vol. 01, No. 03, Dec 2010 X, Xmax = Load and maximum magnetizing induction generators,” Proc. IEE, Part C, Vol. 140, reactance at base frequency No. 1, pp. 49-55, 1993 respectively [9] AI-Bahrani, A.H; and Malik N.H., “Voltage Cmin , Cmax = Minimum and maximum values of control of parallel operated self-excited excitation capacitance (μf) induction generators,” IEEE Trans. On Energy Is1, Ir1, Im1 = Positive sequence stator, rotor Conversion, Vol.8, NO.2, pp. 236-242, 1993 [10] Bhattacharya, J.L., and Woodward, J.L. (referred to stator) and magnetizing “Excitation balancing of a self-excited induction currents resp. generator for maximum power output,” IEE Proc. Is2, Ir2, Im2 = Negative sequence stator, rotor Part C, Vol. 135, No. 2, pp. 88-97, 1988 (referred to stator) and magnetizing [11] Rahim, Y.H.A., “Excitation of isolated three- phase currents resp. induction generator by a single capacitor,” IEE Vt1, Vg1 = Positive sequence per phase Proc., Pt. B., Vol. 140, No. 1, pp. 44-50, 1993 generator terminal and air-gap [12] AI-Bahrani, A.H., and Malik, N.H, “Steady state voltages resp. analysis and performance characteristics of a three- Vt2, Vg2 = Negative sequence per phase phase induction generator self-excited with a single generator terminal and air-gap capacitor,” IEEE Trans. on Energy Conversion, Vol. 5, voltage resp. No. 4, pp. 725-732, 990. YG1, YG2 = Positive and negative sequence per [13] A.H. AI-Bahrani “Analysis of self-excited phase generator terminal admittances induction generators under unbalanced conditions.” at base frequency resp Electric Machine and Power Systems. vol 24.1996, j 2π −j 2π pp 117-129 a, a2 = e 3 and e 3 resp. [14] M.G.Say, “Alternating Current Machines,” Wiley, 1976 All parameters except Cmin and Cmax are in p.u APPENDIX A REFERENCES Specification and parameters of Machine [1] R. Holland, “Appropriate technology - Rural electrification in developing countries,”IEE 3-φ , 4-pole , 50Hz 400/440V, 8.5A, 50Hz, 4.5/6 Review, 1989, vol. 35, no 7, pp 251-254 kW/hp, 1440 rpm, star connected stator winding induction [2] S.S. Murthy, 0.P Malik. and A.K. Tandon. “Analysis of machine RS = 0.068993, Rr = 0.012492, Xs = Xr = self excited induction generators,” IEE Proceedings, 0.074575 Part. C, vol. 129, No 6, 1982. pp.260-265. [3] G. Rains and 0 P. Malik, “Wind energy conversion Air-gap Voltage using a self-excited induction generator,” IEEE VG = 1.895-0.492 fXm for 1.8936 < fXm2.27393 Transactions on Power Apparatus and Systems. vol. 102, no. 12, 1983, pp. 3933-3936. =0 for fXm < 1.8936 [4] Elder, J.M, Boys, J.T., & Woodward, J.L. “Self- excited induction machines as a small low-cost generator,” Proc. IEE, Vol. 131, Part. C, No. 2, pp. 33-41, 1984 [5] AI-Bahrani, A.H., and Malik, N.H, “Selection of the excitation capacitor for dynamic braking of induction machines,” Proc. IEE, Vol. 140, Part. B, No. 1, pp. 1-6, 1993 [6] Doxey, B.C., “Theory and Application of the capacitor-excited induction generator,” The Engineer, 216, pp. 893-897, 1963. [7] N.H. Malik and A.H. Al-Bahrani, “Influence of the terminal capacitance on the performance characteristics of elf-excited induction generator”, Proc. IEE, Vol. 137, Part C, No. 2, pp.168-173, 1990. [8] AI-Bahrani, A.H; and Malik N.H., “Steady-state Fiigure11. Variation of VG with fXm – a linear approximation analysis of parallel operated self-excited 63 © 2010 ACEEE DOI: 01.IJEPE.01.03.535