Load frequency control using genetic-algorithm based fuzzy gain scheduling of PI controllers

被引：46
|
作者：
Chang, CS [1 ]
Fu, WH [1 ]
Wen, FS [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect Engn, Singapore 119260, Singapore
来源：
ELECTRIC MACHINES AND POWER SYSTEMS | 1998年 / 26卷 / 01期
关键词：
D O I：
10.1080/07313569808955806
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：
This paper describes the application of fuzzy gain scheduling on the proportional-integral (PI) load frequency control for a multi-area interconnected power system. To improve the performance of the power system, an appropriate optimization method namely a refined genetic algorithm (RGA), has been used to tune the membership functions and rule sets for the fuzzy control. The control methodology adopts a formulation for the area control error which always guarantees zero steady-state values for both the time error and inadvertent energy. The proposed control has been designed for a two-area interconnected power system with control deadbands and rate constraints. Simulation results confirm the designed control performance of the proposed control.
引用
收藏
页码：39 / 52
页数：14
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