Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/80682
Title: Load frequency control using genetic-algorithm based fuzzy gain scheduling of PI controllers
Authors: Chang, C.S. 
Fu, W.
Wen, F. 
Issue Date: 1-Jan-1996
Source: Chang, C.S.,Fu, W.,Wen, F. (1996-01-01). Load frequency control using genetic-algorithm based fuzzy gain scheduling of PI controllers. Electric Machines and Power Systems 26 (1) : 39-50. ScholarBank@NUS Repository.
Abstract: This paper describes the application of fuzzy gain scheduling on the proportionalintegral (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.
Source Title: Electric Machines and Power Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/80682
ISSN: 0731356X
Appears in Collections:Staff Publications

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