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[能源与动力工程] 基于改进模糊C-均值聚类的陆上风电场集电线路回路划分与拓扑结构优化

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admin 发表于 2025-1-21 10:30 | 查看全部 阅读模式

基于改进模糊C-均值聚类的陆上风电场集电线路回路划分与拓扑结构优化
摘要:目的 在“双碳”目标以及我国能源结构加速转型的双重驱动下,风电产业规模不断快速增长,亟须降本增效以应对平价上网压力。集电线路的造价在投资中占比较大,存在可观的优化空间。为了降低投资成本,提出了一种改进模糊C-均值(fuzzy C-means,FCM)聚类算法。 方法 利用改进FCM聚类算法对陆上风电场集电线路回路进行划分。该算法综合考虑了方位角与欧式距离,以保障回路间线路不交叉,并使相邻机组聚集到同一回路;引入机位到聚类中心距离的修正因子,通过调节其数值限制回路容量。在回路划分的基础上,利用动态Prim算法对各回路进行集电线路优化选线。最后,通过某陆上风电场算例验证方法的有效性。 结果 与只考虑方位角的聚类方法相比,考虑方位角和间距的改进FCM算法优化效果更好,单回、双回连接对应的集电线路总造价分别降低了2.6%和5.4%。 结论 所提算法能够有效降低集电线路的总造价,具有一定的应用价值,可为风电场集电线路设计提供参考。

Abstract:Objectives Driven by the dual carbon goal and the accelerated transformation of China’s energy structure, the scale of the wind power industry continues to grow rapidly, and there is an urgent need to reduce costs and increase efficiency to cope with the pressure of grid parity. The cost of collector lines accounts for a relatively large proportion of investment, and there is considerable space for optimization. In order to reduce the investment cost, an improved fuzzy C-means (FCM) clustering algorithm was proposed. Methods The improved FCM clustering algorithm was used to divide the collector circuit of onshore wind farm. The algorithm comprehensively considered the azimuth angle and the Euclidean distance to ensure that the lines between the circuits were not crossed, and the adjacent units were gathered to the same circuit. The correction factor of the distance from the machine position to the cluster center was introduced, and the circuit capacity was limited by adjusting the distance correction factor. On the basis of circuit division, the dynamic Prim algorithm was used to optimize the line selection of each circuit. Finally, the effectiveness of the method was verified by an example of an onshore wind farm. Results Compared with the clustering method only considering the azimuth angle, the improved FCM algorithm considering azimuth angle and spacing has better optimization effect. The total cost of single-circuit and double-circuit collection lines is reduced by 2.6% and 5.4%, respectively. Conclusions The proposed algorithm can effectively reduce the total cost of collector lines, and has certain application value. It can provide a reference for the design of wind farm collector lines.

标题:基于改进模糊C-均值聚类的陆上风电场集电线路回路划分与拓扑结构优化
title:Onshore Wind Farm Collector Circuit Division and Topology Optimization Based on Improved Fuzzy C-Means Clustering

作者:易海, 吕宙安, 张伶俐, 陈希, 柳典, 黄雨薇, 韩星星, 许昌
authors:Hai YI, Zhouan LÜ, Lingli ZHANG, Xi CHEN, Dian LIU, Yuwei HUANG, Xingxing HAN, Chang XU

关键词:陆上风电场,集电线路,拓扑结构优化,模糊C-均值(FCM)聚类算法,动态Prim算法,
keywords:onshore wind farm,collector line,topology optimization,fuzzy C-means (FCM) clustering algorithm,dynamic Prim algorithm,

发表日期:2024-08-31
2025-1-21 00:30 上传
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