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

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3 Author(s)
Jinyu Wen ; Dept. of Electr. Power Eng., Huazhong Univ. of Sci. & Technol., Hubei, China ; Shijie Cheng ; Malik, O.P.

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 computer 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 presents 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, a 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

Published in:

Power Industry Computer Applications., 1997. 20th International Conference on

Date of Conference:

11-16 May 1997

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