Unit Commitment

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rohitdasari

Technologie Business

SEMI-DEFINITE OPTIMIZATION FOR SECURITY CONSTRAINT INTELLIGENT UNIT COMMITMENT Under the Esteemed guidance of Asst.Prof. Mr. B.DURGA PRASAD Submitted by M.RAMU

Objective ,[object Object],[object Object]

Unit Commitment ,[object Object],[object Object],[object Object],[object Object]

Limitations of conventional unit commitment ,[object Object],[object Object],[object Object],[object Object],[object Object]

WHY SDP ,[object Object],[object Object],[object Object],[object Object]

SDP to solve UC ,[object Object],[object Object],[object Object],[object Object]

Objective function Formation of SDP problem Primal: Dual: Min.A 0 . X max . b T y s.t.A t . X = b i i = 1,…,m X ≥0 L(X , y) = A 0 . X − µ ln |X| − y i (b i − A i . X) The Lagrangian function is

Unit commitment Objective function formation This objective function followed by various constraints 1.power balance constraints. 2.transmission flow constraints. 3.spinning and operating reserves. 4.ramp rate limitations. 5.start up and shut down characteristics of units. 6.active power limits. 7.Reactive power limits. 8.bus voltage limit.

SCUC reformulated as SDP Solution ,[object Object],[object Object],[object Object],[object Object]

Process of solving SDP based SCUC problem

Formulae ,[object Object],[object Object],[object Object],[object Object]

Work on possibilities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Cont’ ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Securing un-Expected states ,[object Object],[object Object],[object Object],[object Object],[object Object]

Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],X =16875 16300 16300 Y = 1250 500 500 L = 13.6430 32.9574 32.9574 13.6348 32.9369 32.9369 13.6295 32.9237 32.9237 13.6263 32.9157 32.9157 13.6265 32.9163 32.9163 13.6310 32.9274 32.9274 13.6415 32.9537 32.9537 13.6586 32.9964 32.9964 13.6677 33.0193 33.0193 13.6788 33.0471 33.0471 13.6865 33.0664 33.0664 13.6926 33.0816 33.0816 13.6976 33.0941 33.0941 13.6988 33.0969 33.0969 13.7031 33.1077 33.1077 13.7167 33.1418 33.1418 13.7321 33.1802 33.1802 13.7013 33.1034 33.1034 13.7007 33.1018 33.1018 13.6937 33.0842 33.0842 13.6936 33.0841 33.0841 13.6853 33.0634 33.0634 13.6585 32.9961 32.9961 13.6526 32.9814 32.9814

Cont’ ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Mat lab logic for SCUC ,[object Object],[object Object],[object Object]

Conclusion and future scope ,[object Object],[object Object],[object Object]

References ,[object Object],[object Object],[object Object],[object Object],[object Object]

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