Stability enhancement of a multimachine power system using fuzzy logic based power system stabilizer tuned through genetic algorithm

被引：27
|
作者：
Lakshmi, P [1 ]
Khan, MA [1 ]
机构：
[1] Anna Univ, Coll Engn, Sch Elect & Elect Engn, Chennai 600025, India
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2000年 / 22卷 / 02期
关键词：
fuzzy logic power system stabilizer; crowding genetic algorithm; root mean square deviation;
D O I：
10.1016/S0142-0615(99)00043-5
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper presents a procedure for application of Fuzzy logic Power System Stabilizer (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.
引用
收藏
页码：137 / 145
页数：9
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