文章基本信息

标题：Genetic Algorithm Optimization for Thermal Generating Unit Scheduling and Economic Dispatch Evaluation
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作者：Prakash, A. ; Raj, A. ; Tung, N. S 等
期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2013
卷号：4
期号：5
页码：1575-1580
出版社：IJECCE
摘要：This paper presents an evolutionary programming based genetic algorithm approach for the solution of multi-constrained complex unit commitment and economic dispatch problem in electrical power system. A unit commitment in power system is used for deciding and planning for optimium generation of power from generating unit according to load demand at particular hour. Genetic algorithm is an evolutionary algorithm which works on the principle of natural selection like "survival of fittest". In the case study, 5 power generating units system for 12 hour period of cycle is considered. The objective is to minimize the total operating cost subjected to system constraints, and generate a solutions for economically use of power generating unit
关键词：Economic Dispatch ED; Genetic Algorithm GA; Load Demand LD; Power Generation PG; Unit Commitment UC