海上风电场集电系统拓扑结构优化研究
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(1.上海电力学院电气工程学院,上海 200090;2.上海绿色能源并网工程技术研究中心,上海 200090;
3..上海高校高效电能应用工程研究中心,上海 200090)

作者简介:

李芃达(1989-),男,通信作者,硕士研究生,研究方向为海上风电场集电系统优化设计;E-mail:1019329536@ qq.com
李东东(1976-),男,博士,教授,研究方向为电力系统分析、风力发电技术及海上风电优化设计。E-mail:upwgrp@163.com

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基金项目:

国家自然科学基金(51507100);上海市“科技创新行动计划”(14DZ1200905);上海市人才发展资金(201365),上海市科学技术委员会(13DZ2251900)


Study on topology optimization of electrical collector system for offshore wind farm
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Affiliation:

(1. School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China; ;2. Shanghai Green
Energy Grid-Integration Technology Engineering Research Center, Shanghai 200090, China; ;3. Shanghai Higher
Institution Engineering Research Center of High Efficiency Electricity Application, Shanghai 200090, China)

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    摘要:

    为了优化海上风电场集电网络拓扑结构,选取受拓扑结构影响较大的中压海底电缆一次投资成本和运行损耗成本作为优化模型。通过改进模糊聚类算法,以集电系统电缆使用总长度最小为目标函数将风电场分区,在以Delaunay三角剖分技术形成的网络上动态调整各边权值并反复迭代后得到总费用最小的树状优化拓扑。算例结果证明算法的有效性,且传统的基于风机间距离的最小生成树算法优化结果得到进一步改善。

    Abstract:

    In order to optimize the topology of electrical collector system of offshore wind farm, the medium-voltage submarine cable cost, including investment cost and operating loss cost, which are both associated with the topology of collector system, is employed to establish the optimization model. FCM algorithm is improved to partition collector system, based on the minimum cable length. By adjusting the weights of each edge dynamically and iterating repeatedly on the Delaunay net generated on each subarea of collector system, the optimal tree topology with minimum total cost is obtained. Results of case study show that the optimization method is effective and the results of classical minimum spanning tree algorithm based on the distance between wind turbines are further improved. This work is supported by National Natural Science Foundation of China (No. 51507100).

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李芃达,李东东.海上风电场集电系统拓扑结构优化研究[J].电力系统保护与控制,2016,44(18):102-107.[LI Pengda, LI Dongdong. Study on topology optimization of electrical collector system for offshore wind farm[J]. Power System Protection and Control,2016,V44(18):102-107]

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  • 收稿日期:2015-09-19
  • 最后修改日期:2015-11-20
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  • 在线发布日期: 2016-09-13
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