中国电力 ›› 2024, Vol. 57 ›› Issue (7): 173-181.DOI: 10.11930/j.issn.1004-9649.202307014

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考虑海缆实际载流量的海上风电集电系统拓扑优化

叶婧1,2(), 蔡俊文1,2(), 张磊1,2(), 周广浩3, 何杰辉1,2, 翟学4   

  1. 1. 三峡大学 电气与新能源学院,湖北 宜昌 443002
    2. 梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北 宜昌 443002
    3. 国网浙江省电力有限公司台州供电公司,浙江 台州 318000
    4. 湖北省电力勘测设计院有限公司,湖北 武汉 430040
  • 收稿日期:2023-07-04 接受日期:2024-05-21 出版日期:2024-07-28 发布日期:2024-07-23
  • 作者简介:叶婧(1986—),女,博士,讲师,从事大规模新能源接入后电力系统运行与控制等研究,E-mail:yejing2000310@163.com
    蔡俊文(1999—),男,硕士研究生,从事大规模海上风电场集电系统拓扑优化研究,E-mail:755673668@qq.com
    张磊(1986—),男,通信作者,博士,副教授,从事人工智能技术在电力系统运行控制中的应用研究,E-mail:leizhang3188@163.com
  • 基金资助:
    国家自然科学基金资助项目(52007103)。

Topology Optimization of Offshore Wind Power Collection System Considering Actual Carrying Capacity of Submarine Cables

Jing YE1,2(), Junwen CAI1,2(), Lei ZHANG1,2(), Guanghao ZHOU3, Jiehui HE1,2, Xue ZHAI4   

  1. 1. College of Electrical Engineering and New Energy, Three Gorges University, Yichang 443002, China
    2. Hubei Key Laboratory of Cascaded Hydropower Station Operation & Control (Three Gorges University), Yichang 443002, China
    3. State Grid Zhejiang Electric Power Co., Ltd. Taizhou Power Supply Company, Taizhou 318000, China
    4. Hubei Electric Power Survey and Design Institute Co., Ltd., Wuhan 430040, China
  • Received:2023-07-04 Accepted:2024-05-21 Online:2024-07-28 Published:2024-07-23
  • Supported by:
    This work is supported by the National Natural Science Foundation of China (No.52007103).

摘要:

海缆实际载流量是海缆选型的重要依据,在海上风电场集电系统拓扑优化中,考虑不同敷设区段海缆载流量存在的差异以及海缆多回路并联敷设时磁热效应对载流量的影响,对保障集电系统的安全性具有重要意义。首先,采用模糊C均值算法对风机进行聚类分区,将集电系统拓扑优化分解为分区内、外拓扑优化。然后,在分区内采用基于Voronoi图的拓扑搜索算法进行求解;在分区外拓扑优化中,考虑海缆瓶颈区段、回路数对载流量的影响,构建混合整数非线性优化模型,线性化后采用优化求解器GUROBI进行求解。最后,以某实际风电场为例进行仿真验证。结果表明,所提模型能保证海缆实际载流量始终大于海缆工作电流,可有效保障集电系统的安全性。

关键词: 海上风电场, 集电系统, 拓扑优化, 载流量, 回路数

Abstract:

The actual carrying capacity of submarine cables is important evidence for submarine cable selection, and in the topology optimization of offshore wind power collection systems, it is of great significance to consider the differences in carrying capacity of submarine cables in different laying sections and the effects of magnetic heat effect on the carrying capacity of the submarine cable laying in parallel with multiple circuits, which can ensure the safety of the power collection system. Firstly, the wind turbines were divided into clustered partitions using the fuzzy C-mean algorithm, and the power collection system topology was divided into intra-partition and extra-partition topology optimization. Then, a topological search algorithm based on Voronoi diagrams was used for the solution within the partition. Subsequently, in the extra-partition topology optimization, the impact of the submarine cable bottleneck section and the number of circuits on the carrying capacity was considered, and a mixed integer nonlinear optimization model was built. After linearization, the model was solved by the optimization solver GUROBI. Finally, an actual wind farm was used as a case for simulation verification. The results show that the proposed model can ensure the actual carrying capacity of the submarine cable is greater than the working current, and it effectively ensures the safety of the power collection system.

Key words: offshore wind farm, power collection system, topology optimization, carrying capacity, number of circuits