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Titolo:
Stability enhancement of a multimachine power system using fuzzy logic based power system stabilizer tuned through genetic algorithm
Autore:
Lakshmi, P; Khan, MA;
Indirizzi:
Anna Univ, Coll Engn, Sch Elect & Elect Engn, Chennai 600025, India Anna Univ Chennai India 600025 Elect & Elect Engn, Chennai 600025, India
Titolo Testata:
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
fascicolo: 2, volume: 22, anno: 2000,
pagine: 137 - 145
SICI:
0142-0615(200002)22:2<137:SEOAMP>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Soggetto:
ECONOMIC-DISPATCH; DESIGN; GENERATORS;
Keywords:
fuzzy logic power system stabilizer; crowding genetic algorithm; root mean square deviation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
18
Recensione:
Indirizzi per estratti:
Indirizzo: Lakshmi, P Anna Univ, Coll Engn, Sch Elect & Elect Engn, Chennai 600025, India Anna Univ Chennai India 600025 ct Engn, Chennai 600025, India
Citazione:
P. Lakshmi e M.A. Khan, "Stability enhancement of a multimachine power system using fuzzy logic based power system stabilizer tuned through genetic algorithm", INT J ELEC, 22(2), 2000, pp. 137-145

Abstract

The paper presents a procedure for application of Fuzzy logic Power SystemStabilizer (FPSS) for stability enhancement of a multimachine power system. The location of Power System Stabilizer (PSS) is determined using critical modes and participation factors for different operating conditions. A simple configuration is chosen for FPSS with a speed deviation of synchronous generator and its derivative as input signals. The parameters of the stabilizers are tuned through simulation of non-linear model of power system under chosen disturbance using Crowding Genetic Algorithm (CGA) to minimize a Root Mean Square Deviation (RMSD) index of the concerned state variable which maximizes the damping of the critical mode. Results obtained from a two area, five generator power system indicate the improved performance of FPSS over conventional PSS. (C) 1999 Elsevier Science Ltd. All rights reserved.

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Documento generato il 13/07/20 alle ore 17:02:02