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Mathematical programming formulations for non-smooth and non-convex electricity dispatch problems

机译:非平滑和非凸型电力调度问题的数学编程公式

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摘要

Electricity dispatch is a difficult optimisation problem that aims at minimising total fuel cost while satisfying system power demand and certain thermal unit constraints. Modelling valve point effects, multiple fuel options or transmission losses brings non-convexity and non-smoothness into the mathematical models. This paper proposes mathematical programming-based models for valve point effects, multiple fuel options and transmission loss problems respectively. Mathematical programming leads to robust and rigorous optimisation methods for these problems. The applicability of the proposed methods is demonstrated through a number of case studies. For all the case studies, the corresponding methods identify power schedules at least as good as or better than the best known in literature.
机译:电力调度是一个困难的优化问题,旨在使总燃料成本最小化,同时满足系统功率需求和某些热力单元约束。对阀点效应,多种燃料选择或传输损耗进行建模可将非凸性和非平滑性带入数学模型。本文提出了基于数学编程的模型,分别针对气门点效应,多种燃料选择和传输损失问题。数学编程导致针对这些问题的鲁棒且严格的优化方法。通过大量案例研究证明了所提出方法的适用性。对于所有案例研究,相应的方法都可以识别出至少与文献中已知的同类产品一样好或更好的功率表。

著录项

  • 来源
    《Electric power systems research》 |2013年第2期|302-308|共7页
  • 作者单位

    Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, London WC1E 7JE, United Kingdom;

    Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, London WC1E 7JE, United Kingdom,School of Energy & Resources, UCL Australia, University College London, Adelaide SA5000, Australia;

    Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, London WC1E 7JE, United Kingdom;

  • 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

    mathematical programming; optimisation; economic dispatch; power generation;

    机译:数学编程;优化;经济调度发电;

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