A neuro-fuzzy power system stabilizer with self-organizing map for multi-machine systems

Author

You, Ruhua ; Nehrir, M. Hashem ; Eghbali, Hassan J.

Author_Institution

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

Volume

2

fYear

2002

fDate

2002

Firstpage

1219

Abstract

A neuro-fuzzy adaptive power system stabilizer with self-organizing map is proposed in this paper. The controller is divided into two subsystems, the self-tuning identifier with variable forgetting factor for the generator and the fuzzy logic-based adaptive controller tuned by an on-line neural network. The parameters of the fuzzy logic based PSS are divided into two categories, so do the on-line training algorithms for updating the parameters. 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 and a two-area system.

Keywords

adaptive control; damping; fuzzy neural nets; oscillations; power system control; power system stability; self-organising feature maps; fuzzy logic based adaptive controller; generator; inter-area oscillations damping; local-area oscillation damping; neuro-fuzzy adaptive power system stabilizer; on-line training algorithms; one-machine-infinite-bus system; parameters updating; self-organizing map; self-tuning identifier; two-area system; variable forgetting factor; Adaptive systems; Damping; Electric variables control; Frequency; Fuzzy logic; Neural networks; Power system stability; Power systems; Signal processing; Torque;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society Winter Meeting, 2002. IEEE

Print_ISBN

0-7803-7322-7

Type

conf

DOI

10.1109/PESW.2002.985204

Filename

985204