文章基本信息

标题：Bat Search Algorithm Based Hybrid PSO Approaches to Optimize the Location of UPFC in Power System
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作者：Pinki Yadav ; P.R. Sharma ; S. K. Gupta 等
期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2015
卷号：7
期号：3
DOI：10.15676/ijeei.2015.7.3.10
出版社：School of Electrical Engineering and Informatics
摘要：FACTS devices plays a significant role to control the power flow of powertransmission system. In this paper, a hybrid PSO algorithm is proposed to optimize thelocation of UPFC in power system. The proposed hybrid PSO algorithm has solved theformulated multiobjective optimization problem. This paper, five objective function tobe considered in the form of minimization such as the fast voltage stability index(FVSI), fuel cost, power loss, voltage deviation and UPFC cost respectively. Toimprove the non satisfied solution of PSO algorithm, bat search optimization is usedand the performance of PSO algorithm is enhanced. The proposed hybrid technique isimplemented in MATLAB working platform which is tested with IEEE 14 bus benchmark system. Here, two load cases are considered to evaluate the proposed method andcompared with traditional PSO algorithm. The comparative analysis are conformed theeffectiveness hybrid PSO algorithm for solving multiobjective optimal power flowproblem.
关键词：Line flow control; multiobjective algorithm; hybrid PSO; bat search method