A study on Multi-objective optimal power Flow under Contingency using Differential Evolution

Abstract

To guide the decision making of the expert engineer specialized peration in power system o and control; the practical oPF iolution should tak-e in coïsideration the critical situati on due to severe loading conditions and fault in power system. Differential rvotution=ffi is one of the best Evolutionary Algorithms (EA) to iolve rei valued optimization proutems. 'itrls paper presents simple Differential Evolution @E) optimization algorithm to solving *utii àu;. ctive optimal power flow (oPF) in the powei system with shunt Fecfs devices .înrià"iirg oltage deviation, power " d tested on the standard-. loIE§EE:!- 3aOnBdu ps opwoèwr eflro w branch. The proposed approach is examined an system test with difrerent objective functions at cr itical situations. In addition, the non smooth cost function due to the efTect of valvc poirrt t u, been considered within.the-second practical network test (13 g"rr..uiirg units). The simulation results-are compared with those by the other recent techniquesl From the different case studies, it is observed that the results dcmonstrate the potential ofihe proposed approach and show cl early its effectiveness to solve practical opF under contingent o'p"r'utio, ,tut.r.