An improved particle swarm optimization for optimal power flow

Author

He, S. ; Wen, J.Y. ; Prempain, E. ; Wu, Q.H. ; Fitch, John ; Mann, Sebastian

Author_Institution

Dept. of Electr. Eng. & Electron., Liverpool Univ., UK

Volume

2

fYear

2004

fDate

21-24 Nov. 2004

Firstpage

1633

Abstract

This paper presents an improved particle swarm optimization (PSO) to solve optimal power flow (OPF) problems. The standard PSO algorithm is extended by incorporating a biology concept "passive congregation" to prevent premature convergence and refine the convergence performance. The proposed approach has been evaluated on an IEEE 30-bus test system with 3 different cases which minimize fuel cost, improve voltage profile and enhance voltage stability, respectively. The results obtained with the proposed approach are presented and compared favourably with results of other approaches.

Keywords

IEEE standards; cost reduction; load flow; optimisation; power system stability; voltage control; IEEE 30-bus test system; cost reduction; fuel cost; optimal power flow; particle swarm optimization; passive congregation; premature convergence; voltage profile; voltage stability; Fuels; Genetic programming; Linear programming; Load flow; Power generation; Power system control; Power system planning; Quadratic programming; Reactive power; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 2004. PowerCon 2004. 2004 International Conference on

Print_ISBN

0-7803-8610-8

Type

conf

DOI

10.1109/ICPST.2004.1460265

Filename

1460265