Optimal tunning of lead-lag and fuzzy logic power system stabilizers using particle swarm optimization

被引：97
作者：
El-Zonkoly, A. M. [1 ]
Khalil, A. A. [1 ]
Ahmied, N. M. [1 ]
机构：
[1] Arah Acad Sci & Technol, Fac Engn & Technol, Alexandria, Egypt
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 02期
关键词：
Particle swarm optimization; Power system controls; Lead-lag power system stabilizer; FUZZY logic power system stabilizer;
D O I：
10.1016/j.eswa.2007.12.069
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper. file problem of simultaneous and coordinated tuning of brushless exciter and lead-lag power system stabilizer parameters of a single infinite bus power system is considered. This problem is formulated as an optimization problem, which is solved using particle swarm optimization technique. Also in this paper, file optimal tuning of it fuzzy logic power system stabilizer using particle swarm optimization method is carried out. Simulation results show the effectiveness of the proposed particle swarm optimization-based lead-lag power system stabilizer and particle swarm optimization-based fuzzy logic power system stabilizer to damp the oscillation of multimachine system and work effectively tinder variable loading and fault conditions. (C) 2007 Elsevier Ltd. All rights reserved.
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收藏
页码：2097 / 2106
页数：10
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