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首页> 外文期刊>Energy Conversion & Management >Multi-objective differential evolution with adaptive Cauchy mutation for short-term multi-objective optimal hydro-thermal scheduling
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Multi-objective differential evolution with adaptive Cauchy mutation for short-term multi-objective optimal hydro-thermal scheduling

机译：短期多目标最优水热调度的自适应柯西突变多目标差分进化

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摘要

A new multi-objective optimization method based on differential evolution with adaptive Cauchy mutation (MODE-ACM) is presented to solve short-term multi-objective optimal hydro-thermal scheduling (MOOHS) problem. Besides fuel cost, the pollutant gas emission is also optimized as an objective. The water transport delay between connected reservoirs and the effect of valve-point loading of thermal units are also taken into account in the presented problem formulation. The proposed algorithm adopts an elitist archive to retain non-dominated solutions obtained during the evolutionary process. It modifies the DE's operators to make it suit for multi-objective optimization (MOO) problems and improve its performance. Furthermore, to avoid premature convergence, an adaptive Cauchy mutation is proposed to preserve the diversity of population. An effective constraints handling method is utilized to handle the complex equality and inequality constraints. The effectiveness of the proposed algorithm is tested on a hydro-thermal system consisting of four cascaded hydro plants and three thermal units. The results obtained by MODE-ACM are compared with several previous studies. It is found that the results obtained by MODE-ACM are superior in terms of fuel cost as well as emission output, consuming a shorter time. Thus it can be a viable alternative to generate optimal trade-offs for short-term MOOHS problem.
机译：提出了一种基于差分进化和自适应柯西变异的多目标优化方法（MODE-ACM），以解决短期多目标最优水热调度问题。除燃料成本外，还优化了污染物气体排放。在提出的问题公式中，还考虑了连接的储层之间的水输送延迟和热力单元的阀点负载的影响。所提出的算法采用精英档案来保留在进化过程中获得的非支配解。它修改了DE的运算符，使其适合于多目标优化（MOO）问题并提高了其性能。此外，为了避免过早收敛，提出了一种自适应柯西突变来保持种群的多样性。一种有效的约束处理方法被用来处理复杂的相等和不等式约束。该算法的有效性在由四个级联水力发电厂和三个热力单元组成的水热系统上进行了测试。通过MODE-ACM获得的结果与以前的一些研究进行了比较。可以发现，通过MODE-ACM获得的结果在燃料成本和排放输出方面都非常出色，耗时更短。因此，为短期MOOHS问题生成最佳折衷可能是一种可行的选择。

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  • 来源
    《Energy Conversion & Management》 |2010年第4期|P.788-794|共7页
  • 作者

    Hui Qin; Jianzhong Zhou; Youlin Lu; Ying Wang; Yongchuan Zhang;

  • 作者单位

    College of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China;

    College of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China;

    College of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China;

    College of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China;

    College of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    optimal hydro-thermal scheduling; differential evolution; multi-objective optimization; adaptive cauchy mutation;

    机译：最佳水热调度;差异进化多目标优化;自适应柯西突变;

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