文章基本信息

标题：Thermal Unit Commitment Scheduling Problem in Utility System by Tabu Search Embedded Genetic Algorithm Method
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作者：C. Christober Asir Rajan
期刊名称：Journal of Electrical Systems
印刷版ISSN：1112-5209
出版年度：2008
卷号：04
期号：02
页码：126-144
出版社：ESRGroups
摘要：The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. This also means that it is desirable to find the optimal unit commitment in the power system for the next H hours. A 66-bus utility power system in India demonstrates the effectiveness of the proposed approach; extensive studies have also been performed for different IEEE test systems consist of 24, 57 and 175 buses. Numerical results are shown comparing the cost solutions and computation time obtained by different intelligence and conventional methods.
关键词：Unit Commitment ; Genetic Algorithm ; Tabu Search ; Dynamic Programming ; Lagrangian Relaxation