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|Title:||Load frequency control using genetic-algorithm based fuzzy gain scheduling of PI controllers||Authors:||Chang, C.S.
|Issue Date:||1-Jan-1996||Citation:||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/10635/62386||ISSN:||0731356X|
|Appears in Collections:||Staff Publications|
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