Reactive power optimisation of power system with APPM

Authors:
Jun Li;Zhihua Cui
Affiliations:
Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China;Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China
Venue:
International Journal of Computing Science and Mathematics
Year:
2013

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Abstract

Artificial plant optimisation algorithm is a new stochastic optimisation algorithm inspired by the plant growing process. In this paper, the primary version is applied to solve reactive power optimisation of power system. To show the efficiency, IEEE118 bus systems is employed. Simulation results show it is effective.