Power System Stabilizers Tuning using Bio-Inspired Algorithm

被引：0
|
作者：
Peres, Wesley [1 ]
Oliveira, Edimar J. [1 ]
Passos Filho, Joao A. [1 ]
Arcanjo, Diego N. [1 ]
Silva Junior, Ivo C. [1 ]
Oliveira, Leonardo W. [1 ]
机构：
[1] Fed Univ Juiz de Fora UFJF, Dept Elect Engn, Juiz De Fora, MG, Brazil
来源：
2013 IEEE GRENOBLE POWERTECH (POWERTECH) | 2013年
关键词：
coordinated control; cuckoo search optimization; genetic algorithms; power system stability; power system stabilizer; ROBUST;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper presents a methodology for coordinated tuning of power system stabilizers taking into account a set of pre-specified operating conditions. The tuning procedure is formulated as an optimization problem which aims to maximize the system damping ratio. The proposed methodology is based on the bio-inspired Modified Cuckoo Search method. The methodology is applied for coordinated stabilizer tuning to New England test system. The results obtained are compared with a genetic algorithm approach.
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页数：5
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