Power system load frequency control by evolutionary fuzzy PI controller

被引：0
|
作者：
Juang, CF [1 ]
Lu, CF [1 ]
机构：
[1] Natl Chung Hsing Univ, Dept Elect Engn, Taichung 402, Taiwan
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Power system load frequency control by fuzzy PI controller is proposed in this paper. During control, a fuzzy system is used to adaptively decide the PI controller gain according the area control error and its change. To ease the design effort and improve the performance of the controller, the fuzzy system is deigned by the Hybrid of Genetic Algorithm and Particle Swarm Optimization (HGAPSO). Simulations on a two-area interconnected power system with different kinds of perturbation are performed. The performance of the proposed approach is verified from simulations and comparisons.
引用
收藏
页码：715 / 719
页数：5
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