An on-line adaptive neuro-fuzzy power system stabilizer for multimachine systems

Author

You, R. ; Eghbali, H.J. ; Nehrir, M.H.

Author_Institution

Electr. & Comput. Eng., Montana State Univ., Bozeman, MT, USA

Volume

4

fYear

2003

fDate

13-17 July 2003

Abstract

A fuzzy logic-based adaptive power system stabilizer (PSS) is proposed in this paper. The parameters of the fuzzy logic-based PSS are tuned by neural networks on-line. The system is divided into two subsystems, a recursive least square identifier with a variable forgetting factor for the generator and a fuzzy logic-based adaptive controller to damp oscillations. The effectiveness of the proposed PSS in increasing the damping of local and inter-area modes of oscillation is demonstrated in a one-machine-infinite-bus system; a two-area, 4-machine, 13-bus system and a 16-machine, 68-bus system.

Keywords

adaptive control; damping; fuzzy logic; fuzzy neural nets; oscillations; power system stability; recursive estimation; adaptive controller; damp oscillations; generator; least square identifier; multimachine systems; on-line adaptive neuro-fuzzy power system stabilizer; one-machine-infinite-bus system; Adaptive control; Adaptive systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Least squares methods; Neural networks; Power systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society General Meeting, 2003, IEEE

Print_ISBN

0-7803-7989-6

Type

conf

DOI

10.1109/PES.2003.1271017

Filename

1271017