An Indirect Adaptive Fuzzy Power System Stabilizer for a Multi-machine Power System

An indirect adaptive fuzzy power system stabilizer (IDFPSS) is proposed in this paper. It consists of a fuzzy identifier and a feedback linearizing controller. The optimal values of the controller gains are determined by a particle swarm optimization technique (PSO). The objective is to damp local a...

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Bibliographic Details
Published in:WSEAS Transactions on Systems and Control 2007-05, Vol.2 (5), p.339-346
Main Authors: Hussein, T, Elshafei, A L, Bahgat, A
Format: Article
Language:English
Online Access:Get full text
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Summary:An indirect adaptive fuzzy power system stabilizer (IDFPSS) is proposed in this paper. It consists of a fuzzy identifier and a feedback linearizing controller. The optimal values of the controller gains are determined by a particle swarm optimization technique (PSO). The objective is to damp local and inter-area oscillations that occur following power system disturbances. The effectiveness of the proposed technique is illustrated by applying the IDFPSS to a two-area four-machine system that is typically used in the literature to test the performance of power system stabilizers. A comparison between the proposed IDFPSS and a well-tuned conventional power system stabilizer (CPSS) confirms the superiority of the proposed algorithm.
ISSN:1991-8763