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Solving dynamic economic dispatch problems using pattern search based methods with particular focus on the West Doha Power Station in Kuwait

机译:使用基于模式搜索的方法解决动态经济调度问题,特别关注科威特的西多哈电站

摘要

This thesis is concerned with Dynamic Economic Dispatch (DED) problems, in particular in the context of the current and future needs of the electrical power system in the State of Kuwait. General Economic Dispatch (ED) issues are addressed, under both static and dynamic conditions, with valve-point effects accounted for. Improvements have been achieved in terms of lower fuel costs, but also more efficient and reliable simulation algorithms. The existingED/DED models have been improved in various ways and enhanced by developing and incorporating two renewable energy sources; namely wind energy and solar energy. Thesetwo have been identified as most relevant to the power system investigated. The models developed are general and can be adjusted to represent many practical systems.The Economic Dispatch problem had been formulated and solved as a constrained optimisation and a particular technique selected for this purpose – not explored before – was a Pattern Search (PS) algorithm. For illustrative purposes, the proposed PS technique had been applied to various test systems to validate its effectiveness. Furthermore, convergence characteristics and robustness of the method had been assessed through comparison withresults reported in literature. The PS technique was found to be very competitive in terms of its overall performance. Variations of the technique have also been explored, in particular a hybrid formulation exploiting Genetic Algorithm (GA), Pattern Search (PS) and SequentialQuadratic Programming, and advantages of such a combined technique reported.A DED model for the West Doha Power Station (WDPS) in Kuwait has been developed and the penetration of renewable energy resources to this model has been discussed. The DEDmodel was then solved using the PS method developed in this thesis to achieve the optimal dispatch with the aim to minimise fuel costs in WDPS. Considerable potential savings in electric power production of WDPS have been identified and thus the benefits of deploying renewable energy in Kuwaiti electric system demonstrated.
机译:本文涉及动态经济调度(DED)问题,尤其是在科威特州电力系统的当前和未来需求的背景下。在静态和动态条件下均解决了一般经济调度(ED)问题,并考虑了阀点效应。在降低燃料成本方面取得了改进,但在效率和可靠性方面也有了改进。现有的ED / DED模型已通过各种方式进行了改进,并通过开发和合并两种可再生能源得到了增强。即风能和太阳能。这两个已被确定与所研究的电力系统最相关。开发的模型是通用的,可以进行调整以代表许多实际系统。经济调度问题已被公式化和解决,是一种有约束的优化,而为此目的选择的一种特殊技术(以前没有探讨过)是模式搜索(PS)算法。为了说明的目的,将所提出的PS技术应用于各种测试系统以验证其有效性。此外,通过与文献报道的结果进行比较,评估了该方法的收敛特性和鲁棒性。发现PS技术就其整体性能而言非常有竞争力。还研究了该技术的变化形式,特别是利用遗传算法(GA),模式搜索(PS)和顺序二次编程的混合公式,并报道了这种组合技术的优势。西多哈电站(WDPS)的DED模型)在科威特已经开发出来,并且已经讨论了可再生能源对该模型的渗透。然后使用本文开发的PS方法对DED模型进行求解,以实现最佳调度,以最小化WDPS中的燃料成本。已经确定了WDPS电力生产中的大量潜在节省,因此证明了在科威特电力系统中部署可再生能源的好处。

著录项

  • 作者

    Al-Sumait Jamal;

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  • 年度 2010
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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