Rearch on RBF Neural Network Fuzzy Control for STATC0M

Author

Li, Yang ; Xiangjie, Chen

Author_Institution

Dept. of Electr. & Autom. Eng., Nanchang Univ., Nanchang, China

Volume

1

fYear

2009

fDate

26-27 Aug. 2009

Firstpage

413

Lastpage

416

Abstract

The basic principle for static synchronous compensator is analyzed in this paper, a new mode controller for STATCOM is proposed, which is based on RBF neural network and fuzzy control theory. The controller can improve the power angle stability for the power system and the local voltage characteristics. The power system transient simulation results on a single-machine infinite-bus system which is include STATCOM shown that the RBF neural network fuzzy controller can improve stability and dynamic response characteristics for the power system more effectively in contrast to conventional STATCOM controllers. The availability in this control method has been verified with digital simulation.

Keywords

digital simulation; dynamic response; fuzzy control; neurocontrollers; stability; static VAr compensators; RBF neural network fuzzy control; STATCOM controllers; digital simulation; dynamic response characteristics; local voltage characteristics; new mode controller; power angle stability; radial basis function networks; single-machine infinite-bus system; static synchronous compensator; Automatic voltage control; Control systems; Fuzzy control; Neural networks; Power system analysis computing; Power system dynamics; Power system simulation; Power system stability; Power system transients; Voltage control; RBF neural network; STATCOM; fuzzy control; simulation; single-machine infinite-bus system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on

Conference_Location

Hangzhou, Zhejiang

Print_ISBN

978-0-7695-3752-8

Type

conf

DOI

10.1109/IHMSC.2009.111

Filename

5336126