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  • 标题:UNIT COMMITMENT SOLUTION USING GENETIC ALGORITHM BASED ON PRIORITY LIST APPROACH
  • 本地全文:下载
  • 作者:SARJIYA ; ARIEF BUDI MULYAWAN ; ANDI SUDIARSO
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:72
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list (GABPL) approach. The UC problem is divided into two sub problems. The problem of unit scheduling is solved by using GABPL method. The lambda iteration method is used for solving the economic load dispatch problem. The proposed method is tested on 10-units-system case study as well as its duplication. The priority list which is used in this paper can make genetic algorithm to converge faster and better. The results of the proposed method are compared to other methods referred in this paper.
  • 关键词:Unit Commitment; Economic Dispatch; Genetic Algorithm; Priority List; Lambda Iteration
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