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

页码：39 / 52

页数：14