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Optimization of the internal grid of an offshore wind farm using Genetic algorithm

机译:基于遗传算法的海上风电场内部网格优化

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Offshore wind energy is a promising solution thanks to its best performance of production. However its development leads to many technical and especially economic challenges among them the electrical grid topology attracts a large investment. In this paper, our objective is to minimize a part of this total investment which represents the initial cost of the middle voltage cables in the internal network with different cross sections. An approach based on Genetic Algorithm is developed to find the best topology to connect all wind turbines and substations. The proposed model initially accepts all possible configurations: radial, star, ring, and tree. The results prove that the optimization model can be used for designing the electrical architecture of the internal network of an offshore wind farm.
机译:海上风能由于其最佳的生产性能而成为有前途的解决方案。然而,其发展导致许多技术挑战,尤其是经济挑战,其中电网拓扑吸引了大量投资。在本文中,我们的目标是使总投资的一部分最小化,该总投资代表具有不同横截面的内部网络中的中压电缆的初始成本。开发了一种基于遗传算法的方法,以找到连接所有风力涡轮机和变电站的最佳拓扑。提出的模型最初接受所有可能的配置:径向,星形,环形和树形。结果证明,该优化模型可用于设计海上风电场内部网络的电气架构。

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