This paper describe the problem of initializing the dynamic models of the induction motor for inter area oscillation of power system studies. To further investigate the effects of dynamic loads on power systems stability, the effectiveness of conventional as well as modern linear controllers is tested and compared with the variation of loads. The effectiveness is assessed based on the damping of the dominant mode and the analysis in this paper highlights the fact that the dynamic load has substantial effect on the system damping. This paper presents an analysis to investigate the critical parameters of the induction motor like inertia and stator and rotor resistance, and reactance which effect of the stability of the system. The examination is showed on the both a standard IEEE 10-machine system with dynamic loads. To further investigate the Power System Stabilizer with Induction Motor on Inter Area Oscillation of Inter Connected by using the MATLAB/SIMLINK Model.
2. 24 International Journal for Modern Trends in Science and Technology
Power System Stabilizer with Induction Motor on Inter Area Oscillation of Inter Connected
different power system stabilizers. The main
purpose of this work is to analyse the effect of
dynamic loads on interconnected power systems
with power system stabilizer.
The rest of the paper is organized as follows:
Section II gives a brief introduction on power
system model. Section III overview of small signal
stability. Section IV brief introduction on
Linearization of IM Equations. Section Overview of
power system stabilier.Section VI gives small signal
stability with IM without PSS. Section VII Gives
small signal stability with IM with PSS. Section
VIII, Effect of large power system with and without
PSS. Induction motor parameter analysis
presented on Section IX. Conclusions of the papers
are summarized in Section X.
II. POWER SYSTEM MODEL
Power systems can be modelled at several
different levels of complexity, depending on the
intended application of the model. Fig. 1shows a
10-machine system with induction motor loads
which is the main focus of this paper as the basis of
this work is built up from this model.
Fig 1. 10-generator, 39-bus new england system.
III. OVERVIEW OF SMALL SIGNAL STABILITY ANALYSIS
Small signal stability is the ability of power
system to maintain synchronous operation under
small disturbances. In large power system, small
signal stability problems may be either local or
global in nature. Local modes are associated with
the oscillations of generating units at a particular
station with respect to the rest of system; these
oscillations are localized in a small part of power
system. Global modes are associated with the
oscillations of many machines in one part of the
system against machines in the other parts; these
oscillations are also called inter-area mode
oscillation. The dynamics of power system can be
described by a set of nonlinear differential
equations together with a set of algebraic equations
as in
x = f (x, u)
y = g (x, u) (1)
Where x refers to the vector of system state
variables, u refers to system input variables, y
refers to system output variables, f describes the
dynamics of the system, g includes equality
conditions such as power flow equations of the
system. In small signal stability analysis, is
linearized around the system operating point:
β x = A βπ₯0 + B βπ’0
β y = C βπ₯0 + D βπ’0 (2)
Where:
A=
ππ1
ππ₯1
β¦
ππ1
ππ₯ π
β¦ β¦ β¦
πππ
ππ₯1
β¦
πππ
ππ₯ π
B=
ππ1
ππ’1
β¦
ππ1
ππ’ π
β¦ β¦ β¦
πππ
ππ’1
β¦
πππ
ππ’ π
C =
ππ1
ππ₯1
β¦
ππ1
ππ₯ π
β¦ β¦ β¦
ππ π
ππ₯1
β¦
ππ π
ππ₯ π
D=
ππ1
ππ’1
β¦
ππ1
ππ’ π
β¦ β¦ β¦
ππ π
ππ’1
β¦
ππ π
ππ’ π
The power system state matrix can be obtained by
eliminating the vector of algebraic variables βπ’0in
(2):
βx = (A-Bπ·β1
C)βπ₯0 = π΄β²
βπ₯0 (3)
Where A' is the system state matrix which contains
all kinds of dynamic components characteristics
and network connection relationship [2]-[3]. By
calculating Eigen values of A', we can conclude all
kinds of information about small signal stability,
including a complex pair of Eigen values Ξ» =Ο Β± jΟ,
the frequency of oscillation f =
w
2Ο
,and the damping
ratio ΞΎ =
βΟ
Ο2+w2
, with Ο real part of the Ξ»,w imaginary
part of the Ξ» . Ο gives the damping and w gives the
frequency of oscillation. A negative real part
represents a damped oscillation whereas a positive
real part represents oscillation of increasing
amplitude. The damping ratio ΞΆ determines the rate
of decay of the amplitude of the oscillation.
IV. LINEARIZATION OF IM EQUATIONS
To represents the induction motor load in
small-signal stability analysis first it has to be
modelled for small-signal stability. The
linearization of induction motor equations is as
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Volume: 2 | Issue: 07 | July 2016 | ISSN: 2455-3778IJMTST
follows. Figure 2 shows the single line diagram of
IM at load bus.
Fig2: IM model.
Linear zing the IM differential Equations, we get,
βαΊππ
= [π΄ππ ] βπππ + [π΅ππ ] βπππ (4)
Where,
βπππ = βπ£β² πβπ£β² π·βπ€ π
π
βπππ = βπ£ π πβπ£π π·
π
Using current as the output variables
βπΌππ = [πΆππ ] βπππ + [π·ππ ] βπππ (5)
Where
βπΌππ = βπ π πβπ π π·
π
The non-zero elements of matrix π΄ππ are
π΄ππ (1,1) = - π2 π3 +
1
πβ²0
(6)
π΄ππ (1,2) = π π΅ ( 1-π π0) + π1 π3 (7)
π΄ππ (1,3) = -π π΅ π£β² π·0 (8)
π΄ππ (2, 1) = - [π π΅ (1- π π0 + π1 π3] (9)
π΄ππ (2, 2) = - π2 π3 +
1
πβ²0
(10)
π΄ππ (2,3) = π π΅ π£β² π0 (11)
π΄ππ (3,1) =
1
2π»
[ -π1 π£β² π0 + π2 π£β² π·0 + π π π0] (12)
π΄ππ (3,2) =
1
2π»
[ -π2 π£β² π0 + π1 π£β² π·0 + π π π0] (13)
π΄ππ (3,3) =
1
2π»
[ βππ0(ππ0) πβ1
(14)
The non-zero elements of matrix Bππ are
Bππ (1,1) = π2 π3 (15)
Bππ (1,2) = -π1 π3 (16)
Bππ (2,1) = π1 π3 (17)
Bππ (2,2) = π2 π3 (18)
Bππ (3,1) =
1
2π»
[ π1 π£β² π0 β π2 π£β² π·0] (19)
π΅ππ (3,2) =
1
2π»
[ π2 π£β² π0 + π1 π£β² π·0] (20)
The non-zero elements of matrix πΆππ are
πΆππ (1,1) = π2 (21)
πΆππ (1,2) = π1 (22)
πΆππ (2,1) = -π1 (23)
πΆππ (2,2) = -π2 (24)
The non-zero elements of matrix π·ππ are
π·ππ 1,1 = - π2 (25)
π·ππ 1,2 = π1 (26)
π·ππ 2,1 = π1 (27)
π·ππ 2,2 = π2 (28)
V. OVERVIEW OF POWER SYSTEM STABILIZER
A PSS is designed to damp electromechanical
oscillations caused by the large generator inertia
and very low damping. The control objective in the
PSS design is to increase the damping of the
electromechanical mode by controlling the
synchronous generator excitation systems using
an auxiliary signal to the automatic voltage
regulator (AVR). Fig. 3shows the block diagram of
excitation system, including the AVR and PSS
which is considered in this section.
Fig3. Excitation system with AVR and PSS
The dynamics of the PSS can be described by the
following two equations:
4. 26 International Journal for Modern Trends in Science and Technology
Power System Stabilizer with Induction Motor on Inter Area Oscillation of Inter Connected
(29)
(30)
Where KSTAB is the gain of power oscillation
damping controller, Tw is the time constant of the
washout block, T1 and T2 are the time constants of
the phase compensation block, v2 is the output of
the washout block and vs is the stabilizing signal
which is the output of the phase compensation
block.
The parameters of the designed PSS are as follows:
VI. SMALL SIGNAL STABILITY WITH IM WITHOUT PSS
The table1 shows the inter-area mode damping
factor with and without PSS different Kim values.
The Eigen values are in right half of the plane the
system is unstable
Table1. Induction motor load on inter-area mode without
PSS
VII. SMALL SIGNAL STABILITY WITH IM WITH PSS
The table2 shows the inter-area mode damping
factor with and with PSS different Kim values. The
Eigen value is in left-half the plane system is stable
fig4 shows the variation of damping factor and
frequency with Kim for inter-area mode.
Table2. Induction motor load on inter-area mode with PSS
Fig4.variation of damping factor and frequency with Kim on
inter-area mode.
VIII. EFFECT OF LARGE POWER SYSTEM WITH AND
WITHOUT PSS
The effect of load variation on power system
stability without any controller are shown in fig5
.The designed PSS is simulated on a large power
system with constant impedence loads and
dynamic load.The slip_COI on 10-machine system
wih PSS and without PSS as shown in fig5 and fig6.
Fig5. 10-Machine slip_COI vs. time without PSS
Fig6. 10-machine slip_COI vs time with PSS
IX. INDUCTION MOTOR PARAMETER ANALYSIS
The sensitivity of a large power system to the
critical parameters is analysed in this section. For
this analysis, a 10-generator, 39-bus New England
system shown in Fig. 1 is considered.
In this case Kim decides the how much fraction
of induction motor is used as load and remaining
load is constant impedence load. Now this case
5. 27 International Journal for Modern Trends in Science and Technology
Volume: 2 | Issue: 07 | July 2016 | ISSN: 2455-3778IJMTST
study will deal how the induction motor
parameters effect the small signal stability.
A. Influences of stator resistance (Rs) on
inter-area mode:
The influences of Induction motor stator
resistance (Rs) on small signal stability
analysis are presented in table 3. The induction
motor stator resistance (Rs) on damping factor
(ΞΎ) and frrquency (fo in Hz) for inter area mode
as shown in fig7. With the increasing stator
resistance, we can see that the damping factor
of inter area mode decreases and frequency
decreases in small range.
B. Influences of stator reactance (Xls) on
inter-area mode:
The influences of Induction motor stator
reactance (Xls) on small signal stability
analysis are presented in table 4. The induction
motor stator reactance (Xls) on damping factor
(ΞΎ) and frrquency (fo in Hz) for inter area mode
as shown in fig8. With the increasing stator
reactance, we can see that the damping factor
of inter area mode increases and frequency
decreases in small range.
C. Influences of (Xm) on inter-area mode:
The influences of induction motor (Xm) on
small signal stability analysis are presented in
table 5. The induction motorXm on damping
factor (ΞΎ) and frrquency (fo in Hz) for inter area
mode as shown in fig 9. With the increasing
Xm, we can see that the damping factor of inter
area mode increases and frequency increases
in small range.
D. Influences of rotor resistance (Rr) on inter-area
mode:
The influences of Induction motor rotor
resistance (Rr) on small signal stability analysis
are presented in table 6. The induction motor
rotor resistance (Rr) on damping factor (ΞΎ) and
frrquency (fo in Hz) for inter area mode as
shown in fig 10. With the increasing rotor
resistance, we can see that the damping factor
of inter area mode increases and frequency
decreases in small range.
E. Influences of rotor reactance (Xlr) on inter-area
mode:
The influences of Induction motor rotor
reactance (Xlr) on small signal stability analysis
are presented in table 7. The induction motor
rotor reactance (Xlr) on damping factor (ΞΎ) and
frrquency (fo in Hz) for inter area mode as
shown in fig 11. With the increasing rotor
reactance, we can see that the damping factor
of inter area mode increases and frequency
decreases in small range.
F. Influences of inertia of induction motor on
inter-area mode:
The influences of Induction motor inertia
(Him) on small signal stability analysis are
presented in table 8. The induction motor
inertia (Him) on damping factor (ΞΎ) and
frrquency (fo in Hz) for inter area mode as
shown in fig 12. With the increasing inertia,
we can see that the damping factor of inter
area mode decreases and frequency
decreases in small range.
Table 3. Eigenvalue modes for different induction-motor
stator resistance.
Table 4. Eigenvalue modes for different induction-motor
stator reactance
Table 5. Eigenvalue modes for different induction-motor
Xm
6. 28 International Journal for Modern Trends in Science and Technology
Power System Stabilizer with Induction Motor on Inter Area Oscillation of Inter Connected
Table 6. Eigenvalue modes for different induction-motor
rotor resistance
Table 7. Eigenvalue modes for different induction-motor
rotor reactance
Table 8. Eigenvalue modes for different induction-motor
inertia
Fig7. Variation of damping factor and frequency with Rs for
inter-area mode
Fig8. Variation of damping factor and frequency with Xls for
inter-area mode
Fig9. Variation of damping factor and frequency wih Xm for
inter-area mode
Fig10. Variation of damping factor and frequency with Rr
for inter-area mode
Fig11. Variation of damping factor and frequency with Xlr
for inter area mode
7. 29 International Journal for Modern Trends in Science and Technology
Volume: 2 | Issue: 07 | July 2016 | ISSN: 2455-3778IJMTST
Fig12. Variation of damping factor and frequency with Him
for inter-area mode.
X. CONCLUSION
To investigate the effects of dynamic loads on
power system stability, the linearized model of the
synchronous machine and induction motor system
is presented in this paper. Since most of the
nonlinearities in the system occur due to the
interconnections, therefore the effects of
interconnections are also considered in the
linearization process. Then by using the concept of
eigen values and participation factors and by
varying some elements of the state matrix, the
direct-axis open-circuit time constant of the
induction motor, Tβdom is found as the parameter
that affects the stability of the system and the
system stability with other critical parameters of
induction motor like inertia and Xm ,stator
resistance, stator reactance, rotor resistance, rotor
reactance and also improve different dynamic
stability with power system stabilizer (PSS). The
performance inferred using the Eigen analysis can
be verified through time domain simulation
without any requirement of preparing the data files
separately.
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