A self-organizing power system stabilizer using fuzzy auto-regressive moving average (FARMA) model

Author

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

Author_Institution

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

Volume

11

Issue

2

fYear

1996

fDate

6/1/1996 12:00:00 AM

Firstpage

442

Lastpage

448

Abstract

This paper presents a self-organizing power system stabilizer (SOPSS) which use the fuzzy auto-regressive moving average (FARMA) model. The control rules and the membership functions of the proposed 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. To show the effectiveness of the proposed controller, comparison with a conventional controller for a one-machine infinite-bus system is presented

Keywords

autoregressive moving average processes; control system synthesis; controllers; fuzzy control; power system control; power system stability; self-adjusting systems; control rules; fuzzy auto-regressive moving average model; fuzzy logic controller; fuzzy rule space; membership functions; one-machine infinite-bus system; self-organizing power system stabilizer; Automatic control; Automatic generation control; Control systems; Damping; Fuzzy logic; Fuzzy systems; History; Power system control; Power system modeling; Power system stability;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.507658

Filename

507658