PROJECT TITLE :

Comparative study of evolutionary computation methods for active-reactive power dispatch

ABSTRACT :

This study presents a comparative study for four evolutionary computation (EC) methods to the optimal active-reactive power dispatch (ARPD) downside. Theoretically, there is a coupling relation between ARPDs. But, as a result of of high X/R ratio existing within the transmission line, the matter of ARPD will be decomposed into two individual sub-issues by the decoupling concept, that's, ARPD issues. During this study, the evolutionary programming (EP), particle swarm optimisation (PSO), differential evolution (DE) and therefore the proposed hybrid differential evolution (HDE) algorithms are used to separately solve the ARPD problem. To judge the performance of each technique, the IEEE 30-bus and Taiwan Power Company (TPC) 345 kV simplified systems are used because the study cases. The results indicate that the proposed HDE will obtain higher results than the other strategies in terms of active power transmission losses, voltage deviation, operating cost and convergence performance.


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