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Multi-objective expansion planning approach: distant wind farms and limited energy resources integration

机译：多目标扩展计划方法：远程风电场和有限的能源整合

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This study presents a multi-objective framework to evaluate the integration of distant wind farms with associated transmission network upgrades on optimal power system planning. The presented approach also extends the technique to include the consideration of energy limitations associated with the installed hydro generation facilities. This study attempts to emphasise on the reliability implications rather than the production cost evaluation aspects. The decision making is based on hierarchal level II (HL-II) Expected Energy Not Served as an entire power system reliability assurance, and capital cost plus annual operational cost as an economical index. Non-dominated Sorting Genetic Algorithm is adopted to achieve the Pareto front of the aforementioned multi-objective problem. A fuzzy satisfying method, designated as the distance metric, is used to represents a trade-off between different objectives. To numerically evaluate the efficiency of the proposed method, simulation results on three case studies are provided. In spite of huge computation burden at HL-II reliability assessment, the results indicate high efficiency of the proposed method.
机译：这项研究提出了一个多目标框架，以评估最佳风电系统规划中远距离风电场与相关传输网络升级的集成。提出的方法还将技术扩展到包括与已安装的水力发电设施相关的能量限制的考虑。本研究试图强调可靠性的含义，而不是生产成本评估方面。决策基于等级II（HL-II）预期能量不能用作整个电力系统的可靠性保证，而资本成本加上年度运营成本则是一个经济指标。采用非支配排序遗传算法来实现上述多目标问题的帕累托前沿。一种模糊的满意方法，称为距离度量，用于表示不同目标之间的折衷。为了对所提出方法的效率进行数值评估，提供了三个案例研究的仿真结果。尽管在HL-II可靠性评估中计算量很大，但结果表明该方法具有很高的效率。

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