Power system load frequency control by evolutionary fuzzy PI controller

Author

Juang, Chia-Feng ; Lu, Chun-Feng

Author_Institution

Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan

Volume

2

fYear

2004

fDate

25-29 July 2004

Firstpage

715

Abstract

Power system load frequency control by fuzzy PI controller is proposed in this paper. During control, a fuzzy system is used to adaptively decide the PI controller gain according the area control error and its change. To ease the design effort and improve the performance of the controller, the fuzzy system is deigned by the hybrid of genetic algorithm and particle swarm optimization (HGAPSO). Simulations on a two-area interconnected power system with different kinds of perturbation are performed. The performance of the proposed approach is verified from simulations and comparisons.

Keywords

PI control; control system synthesis; frequency control; fuzzy control; fuzzy systems; genetic algorithms; load regulation; power system control; power system interconnection; PI controller gain; area control error; evolutionary fuzzy PI controller; fuzzy system design; hybrid genetic algorithm; particle swarm optimization; power system load frequency control; two area interconnected power system; Control systems; Error correction; Frequency control; Fuzzy control; Fuzzy systems; Hybrid power systems; Power system control; Power system interconnection; Power system simulation; Power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on

ISSN

1098-7584

Print_ISBN

0-7803-8353-2

Type

conf

DOI

10.1109/FUZZY.2004.1375486

Filename

1375486