Title: Reactive power optimisation of power system with APPM

Authors: Jun Li; Zhihua Cui

Addresses: 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

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.

Keywords: photosynthesis operator; phototropism operator; reactive power optimisation; power systems; artificial plant optimisation; simulation.

DOI: 10.1504/IJCSM.2013.054679

International Journal of Computing Science and Mathematics, 2013 Vol.4 No.1, pp.34 - 41

Received: 24 Sep 2012
Accepted: 03 Feb 2013
Published online: 10 May 2014 *

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