Environmental/economic dispatch using fuzzy logic controlled genetic algorithms

Author

Song, Y.H. ; Wang, G.S. ; Wang, P.Y. ; Johns, A.T.

Author_Institution

Dept. of Electr. Eng. & Electron., Brunel Univ., Uxbridge, UK

Volume

144

Issue

4

fYear

1997

fDate

7/1/1997 12:00:00 AM

Firstpage

377

Lastpage

382

Abstract

The paper presents the application of a fuzzy logic controlled genetic algorithm (FCGA) to power system environmental/economic dispatch. The authors first propose an improved genetic algorithm with two fuzzy controllers based on some heuristics to adaptively adjust the crossover probability and mutation rate during the optimisation process. The implementation of the fuzzy crossover and mutation controllers is described. The proposed FCGA can be applied to wide range of optimisation problems. The validity of the proposed algorithm is illustrated on environmental/economic dispatch of a six-generator power system. Its performance is compared with conventional GAs and the Newton-Raphson method. The results are very encouraging

Keywords

control system analysis; control system synthesis; economics; fuzzy control; genetic algorithms; load dispatching; optimal control; power system control; probability; crossover probability; fuzzy logic optimal control; genetic algorithms; mutation rate; optimisation process; power system economic dispatch; power system environmental dispatch;

fLanguage

English

Journal_Title

Generation, Transmission and Distribution, IEE Proceedings-

Publisher

iet

ISSN

1350-2360

Type

jour

DOI

10.1049/ip-gtd:19971100

Filename

612292