Title: Social emotional optimisation algorithm for reactive power optimisation

Authors: Zhan-Hong Wei; Yu Liu; Guo-Xin Zhao; Yu-Bao Song

Addresses: School of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China ' School of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China ' School of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China ' School of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China

Abstract: The reactive power optimisation plays an important role in the security and economy of power systems. In this paper, a social emotional optimisation algorithm is provided to solve the reactive power problem. Social emotional optimisation algorithm simulates the human social network, in which human emotion influences decisions in human social life. It does well in solving high-dimensional problems. Moreover, this paper adds the simplex method to improve the local search ability of the algorithm. Then, with the improved algorithm, this paper solves the reactive power problem. In order to show the validity of the improved algorithm used to solve the reactive power problem, simulation experiments were done with standard IEEE57 bus power system and IEEE118 bus power system. The results of the experiment show that the algorithm can effectively solve the reactive power optimisation problem.

Keywords: reactive power optimisation; social emotional optimisation; local search strategy; human social networks; human emotions; decision making; simulation.

DOI: 10.1504/IJWMC.2016.078205

International Journal of Wireless and Mobile Computing, 2016 Vol.10 No.4, pp.351 - 360

Received: 08 Dec 2015
Accepted: 30 Mar 2016

Published online: 29 Jul 2016 *

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