A Survey of Particle Swarm Optimization Applications in Electric Power Systems

被引：467

作者：

AlRashidi, M. R. ^{[1
]}

El-Hawary, M. E. ^{[1
]}

机构：

[1] Dalhousie Univ, Dept Elect & Comp Engn, Halifax, NS B3J 2X4, Canada

来源：

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION | 2009年 / 13卷 / 04期

关键词：

Particle swarm optimization (PSO); power system control; power system operations; FLOW LITERATURE; REACTIVE POWER; DISPATCH;

D O I：

10.1109/TEVC.2006.880326

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Particle swarm optimization (PSO) has received increased attention in many research fields recently. This paper presents a comprehensive coverage of different PSO applications in solving optimization problems in the area of electric power systems. It highlights the PSO key features and advantages over other various optimization algorithms. Furthermore, recent trends with regard to PSO development in this area are explored. This paper also discusses PSO possible future applications in the area of electric power systems and its potential theoretical studies.

引用

页码：913 / 918

页数：6

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