Load-frequency control by hybrid evolutionary fuzzy PI controller

被引：87
作者：
Juang, CF [1 ]
Lu, CF
机构：
[1] Natl Chung Hsing Univ, Dept Elect Engn, Taichung 402, Taiwan
[2] Chung Chou Inst Technol, Dept Elect Engn, Changhua 510, Peoples R China
来源：
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION | 2006年 / 153卷 / 02期
关键词：
D O I：
10.1049/ip-gtd:20050176
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：
Power-system load-frequency control by fuzzy-PI (FPI) controller is proposed. During control, a fuzzy system is used to decide adaptively the proper proportional and integral gains of a PI controller according the area-control error and its change. To ease the design effort and improve the performance of the controller, design of the FPI controller by hybridising a genetic algorithm and particle-swarm optimisation, called FPI-HGAPSO, is proposed. FPI-HGAPSO is based on the hybrid of the genetic algorithm and particle-swarm optimisation. In FPI-HGA-PSO, elites in the population of GAs are enhanced by particle-swarm optimisation and these enhanced elites are selected as parents for crossover and mutation operations. Simulations of the proposed evolutionary FPI-control approach on a multiarea interconnected power system with different kinds of perturbations are performed. The performance of the proposed approach is verified from simulations and comparisons.
引用
收藏
页码：196 / 204
页数：9
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