Title :
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
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;
Conference_Titel :
Power System Technology, 2004. PowerCon 2004. 2004 International Conference on
Print_ISBN :
0-7803-8610-8
DOI :
10.1109/ICPST.2004.1460265
