A power system stabilization with an adaptive fuzzy logic controller

Author

Park, Young-Moon ; Moon, Un-Chul ; Lee, Kwang Y.

Author_Institution

Dept. of Electr. Eng., Seoul Nat. Univ., South Korea

Volume

2

fYear

1996

fDate

11-13 Dec 1996

Firstpage

2191

Abstract

A power system stabilization technique with an adaptive fuzzy logic controller is developed to enhance the damping of low frequency oscillation in power system. Control rules and membership functions for the fuzzy logic controller are generated automatically without using any plant model. The generated rules are stored in the fuzzy rule space and updated on-line by a self-organizing procedure. A case study considers a two-machine five-bus system

Keywords

adaptive control; autoregressive moving average processes; damping; fuzzy control; fuzzy logic; inference mechanisms; power system control; power system interconnection; power system stability; self-adjusting systems; adaptive fuzzy logic controller; control rules; damping; fuzzy rule space; low frequency oscillation; membership functions; power system stabilization; self-organizing procedure; two-machine five-bus system; Adaptive control; Automatic generation control; Control system synthesis; Control systems; Damping; Frequency; Fuzzy logic; Power system modeling; Power systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on

Conference_Location

Kobe

ISSN

0191-2216

Print_ISBN

0-7803-3590-2

Type

conf

DOI

10.1109/CDC.1996.572960

Filename

572960