NDLI: A synchronous generator fuzzy excitation controller optimally designed with a genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Jinyu Wen Shijie Cheng Malik, O.P.
Copyright Year	1969
Abstract	Design of a fuzzy logic power system controller with satisfactory performance is not an easy task. The difficulties come from two aspects. First, design of a fuzzy logic controller mainly uses the experience of the human experts. To acquire enough heuristic knowledge from the domain experts and to represent this kind of knowledge appropriately with a set of fuzzy rules present difficulties. Second, it is difficult to appropriately tune the parameters used in the fuzzy logic controller. These parameters are commonly determined by a "trial and error" method which is rather time consuming. In this paper, genetic algorithm is introduced to design an optimal fuzzy logic controller. The proposed method has been used to design an optimal fuzzy logic excitation controller for a generating unit. Test results with the fuzzy logic controller show very satisfactory results.
Sponsorship	IEEE Power Engineering Society
Starting Page	884
Ending Page	889
Page Count	6
File Size	620876
File Format	PDF
ISSN	08858950
Volume Number	13
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Synchronous generators Fuzzy control Optimal control Fuzzy logic Power systems Power system control Control systems Humans Fuzzy sets Genetic algorithms
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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