Optimization of intelligent controller for multi-area interconnected systems based on genetic algorithm

Author

Xu Shaochuan ; Yuanwei Jing ; Xuebo Chen

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

Volume

1

fYear

2011

fDate

26-28 July 2011

Firstpage

664

Lastpage

668

Abstract

For multi-area interconnected system with overlapping structure, the decentralized controller is designed, and the optimization controller is used to ensure the quality of power frequency and exchanging power of tie lines for power system. In order to improve the dynamic response property of power system a fuzzy controller is designed in every area control. The genetic algorithm is adopted for the design problems of fuzzy controller rule, membership function and parameter optimization. The simulation results indicate that the dynamic response property for random load disturbance is improved under the condition of ensuring the power system stable for state feedback controller and expert fuzzy controller.

Keywords

control system synthesis; dynamic response; fuzzy control; genetic algorithms; load regulation; power system control; power system interconnection; state feedback; dynamic response; fuzzy controller design; genetic algorithm; intelligent controller design; multiarea interconnected systems; optimization; power frequency quality; power system; random load disturbance; state feedback controller; tie lines; Biological cells; Control systems; Fuzzy control; Genetic algorithms; Optimization; Power system dynamics; Quantization; fuzzy logic controller; genetic algorithm; interconnected power system;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-61284-180-9

Type

conf

DOI

10.1109/FSKD.2011.6019475

Filename

6019475