Optimal Substation Location Of A Wind Farm Using Different Metaheuristic Algorithms

Chakib El Mokhi, A. Addaim
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引用次数: 5

Abstract

This article presents the optimization of the substation location of a wind farm using metaheuristic algorithms. This method can reduce the total length of cable which has a direct impact on the electrical power losses. The cost of the electrical system is estimated between 15–30% of the total investment costs. By optimizing the substation location, these high costs can be avoided even in the design phase of the wind farm. The optimization methods are tested on a regular as well as an irregular wind farm. In order to check the reliability of the optimization methods, two real existing onshore and offshore wind farms are used. The results of the proposed optimization show that the optimization of the substation location is an effective way to design the wind farm layout with low cost.
基于不同元启发式算法的风电场变电站最优选址
本文提出了用元启发式算法优化风电场变电站位置的方法。这种方法可以减少电缆的总长度,直接影响到电力损耗。电力系统的成本估计在总投资成本的15-30%之间。通过优化变电站的位置,甚至在风电场的设计阶段就可以避免这些高成本。优化方法在常规风电场和不规则风电场上进行了试验。为了验证优化方法的可靠性,使用了两个实际的陆上和海上风电场。优化结果表明,变电站位置优化是设计低成本风电场布局的有效途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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