Differential evolution with Gaussian mutation for combined heat and power economic dispatch

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• 作者：C. Jena ; M. Basu ; C. K. Panigrahi
• 关键词：Combined heat and power economic dispatch ; Cogeneration ; Differential evolution ; Gaussian mutation ; Prohibited operating zone ; Valve ; point loading
• 刊名：Soft Computing - A Fusion of Foundations, Methodologies and Applications
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：20
• 期：2
• 页码：681-688
• 全文大小：596 KB
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• 作者单位：C. Jena (1)
  M. Basu (2)
  C. K. Panigrahi (1)
  
  1. School of Electrical Engineering, KIIT University, Bhubaneswar, India
  2. Department of Power Engineering, Jadavpur University, Kolkata, India
  
• 刊物类别：Engineering
• 刊物主题：Numerical and Computational Methods in Engineering
  Theory of Computation
  Computing Methodologies
  Mathematical Logic and Foundations
  Control Engineering
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1433-7479

文摘

This paper presents differential evolution with Gaussian mutation to solve the complex non-smooth non-convex combined heat and power economic dispatch (CHPED) problem. Valve-point loading and prohibited operating zones of conventional thermal generators are taken into account. Differential evolution (DE) is a simple yet powerful global optimization technique. It exploits the differences of randomly sampled pairs of objective vectors for its mutation process. This mutation process is not suitable for complex multimodal optimization. This paper proposes Gaussian mutation in DE which improves search efficiency and guarantees a high probability of obtaining the global optimum without significantly impairing the simplicity of the structure of DE. The effectiveness of the proposed method has been verified on five test problems and three test systems. The results of the proposed approach are compared with those obtained by other evolutionary methods. It is found that the proposed differential evolution with Gaussian mutation-based approach is able to provide better solution.