A genetic-based algorithm for fuzzy unit commitment model

(2000) A genetic-based algorithm for fuzzy unit commitment model. Power Engineering Society Summer Meeting, 2000. IEEE, 1.


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This paper presents a fuzzy model for the unit commitment problem (UCP). The model takes the uncertainties in the forecasted load demand and the spinning reserve constraints in a fuzzy frame. The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. In the implementation for the GA, coding of the UCP solutions is based on mixing binary and decimal representations. A fitness function is constructed from the total operating cost of the generating units plus a penalty term determined due to the fuzzy load and spinning reserve membership functions. Numerical results showed an improvement in the solutions costs compared to the results reported in the literature and the GA with crisp UCP model

Item Type: Article
Subjects: Computer
Department: College of Engineering and Physics > Electrical Engineering
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 13:49
Last Modified: 01 Nov 2019 14:07
URI: https://eprints.kfupm.edu.sa/id/eprint/14776