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Author Chia-Feng Juang ♦ Chun-Feng Lu
Sponsorship IEEE ♦ IEEE Neural Networks Soc
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2002
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Power system control ♦ Power systems ♦ Frequency control ♦ Fuzzy control ♦ Fuzzy systems ♦ Power system simulation ♦ Automatic control ♦ Control systems ♦ Power system interconnection ♦ Genetic algorithms
Abstract A genetic algorithm (GA) based fuzzy gain scheduling approach for power system load frequency control is proposed in this paper. In this approach, a fuzzy system is used to adaptively decide the integral controller gain according to the area control errors (ACE) and their changes. To reduce the fuzzy system design effort and the number of fuzzy rules, the fuzzy system is designed automatically by GA. To improve the design performance, a new GA using elitist strategy combined with similarity measure is proposed. Simulations on a two-area interconnected power system with different kinds of perturbation are performed. The superiority of the proposed method over existing ones is verified from simulations and comparisons.
Description Author affiliation: Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan (Chia-Feng Juang)
ISBN 0780372808
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2002-05-12
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 329.44 kB
Page Count 5
Starting Page 64
Ending Page 68

Source: IEEE Xplore Digital Library