Fuzzy adaptive control for multi-machine power system based on ant colony algorithm

Author

Wu, Zhong-qiang ; Yao, Yuan ; Dou, Chun-xia

Author_Institution

Key Lab. of Ind. Comput. Control Eng. of Hebei Province, Yanshan Univ., Qinhuangdao, China

Volume

5

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

2619

Lastpage

2623

Abstract

Based on multi-machine excitation control models, using fuzzy adaptive theory and considering the multi-machine nonlinear system whose states are not available, observer-based adaptive fuzzy output feed back control schemes are proposed. In this paper, the ant colony algorithm is used to optimize the fuzzy control rules. The simulation result shows that the controller can effectively improve power system stability under big disturbance.

Keywords

adaptive control; feedback; fuzzy control; nonlinear control systems; observers; optimisation; power generation control; stability; ant colony algorithm; fuzzy adaptive control; multimachine excitation control models; multimachine nonlinear system; multimachine power system; observer-based output feedback; power system stability; Adaptation model; Adaptive systems; Generators; Power system dynamics; Power system stability; Presses; ant colony algorithm; fuzzy and adaptive control; multi-machine power system; states observer;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2010 Sixth International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5958-2

Type

conf

DOI

10.1109/ICNC.2010.5583048

Filename

5583048