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  • 标题:Optimization Algorithms for Solving Combined Economic Emission Dispatch: A Review
  • 本地全文:下载
  • 作者:John Kobbina Arthur ; Emmanuel Asuming Frimpong ; Joe Oteng Adjei
  • 期刊名称:Lecture Notes in Engineering and Computer Science
  • 印刷版ISSN:2078-0958
  • 电子版ISSN:2078-0966
  • 出版年度:2019
  • 卷号:2241
  • 页码:210-215
  • 出版社:Newswood and International Association of Engineers
  • 摘要:This paper presents a review of various optimization algorithms for solving combined economic emission dispatch (CEED). As a result of rising public concerns about the environmental impact of fossil-fueled electric power stations and its global warming and greenhouse gas emission effect, a solution based only on the minimization of the economic cost is no longer acceptable and need to consider minimization of emissions as well. This multi-objective problem becomes more complex in large scale power systems, as it is hard to find out an optimal solution because it is a non-smooth and non-convex function, and it contains several local optima. This review will help researchers for providing better techniques for CEED optimization in a practical power system.
  • 关键词:Combined Economic Emission Dispatch;; Differential Evolution; Economic Dispatch; Heuristics;; Optimization
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