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首页> 外文期刊>Renewable Power Generation, IET >Optimisation for offshore wind farm cable connection layout using adaptive particle swarm optimisation minimum spanning tree method
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Optimisation for offshore wind farm cable connection layout using adaptive particle swarm optimisation minimum spanning tree method

机译：自适应粒子群优化最小生成树法优化海上风电场电缆连接布局

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摘要

The wind farm layout optimisation problem is similar to the classic mathematical problem of finding the minimum spanning tree (MST) of a weighted undirected graph. Due to the cable current-carrying capacity limitation, the cable sectional area should be carefully selected to meet the system operational requirement and this constraint should be considered during the MST formulation process. Hence, traditional MST algorithm cannot ensure a minimal cable investment layout. In this study, a new method to optimise the offshore wind farm cable connection layout is presented. The algorithm is formulated based on the concept of MST and further improved by adaptive particle swarm optimisation algorithm. Since the location of the offshore substation (OS) has a significant impact on both the layout formulation and total cost of cables, the optimised location of OS is expected to be found together with the optimised cable connection layout. The proposed method is compared with the MST and dynamic MST methods and simulation results show the effectiveness of the proposed method.
机译：风电场布局优化问题类似于经典数学问题，即找到加权无向图的最小生成树（MST）。由于电缆载流量的限制，应仔细选择电缆截面积，以满足系统的运行要求，并且在MST配制过程中应考虑这一限制。因此，传统的MST算法无法确保最小的电缆投资布局。在这项研究中，提出了一种优化海上风电场电缆连接布局的新方法。该算法是基于MST的概念制定的，并通过自适应粒子群优化算法进行了进一步改进。由于海上变电站（OS）的位置对电缆的布局设计和电缆总成本都有重大影响，因此，预计将找到OS的优化位置以及优化的电缆连接布局。将该方法与MST和动态MST方法进行了比较，仿真结果表明了该方法的有效性。

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