中国电力 ›› 2023, Vol. 56 ›› Issue (11): 20-28.DOI: 10.11930/j.issn.1004-9649.202209065

• 海上风电送出与并网技术 • 上一篇    下一篇

基于海上风电场区66 kV集电系统海缆最大截面经济性分析

王朝辉1(), 黄松阁2(), 林斌2, 陈雨薇2, 范淑敏2, 施朝晖2   

  1. 1. 中国广核新能源控股有限公司,北京 100070
    2. 中国电建集团华东勘测设计研究院有限公司,浙江 杭州 311122
  • 收稿日期:2022-09-30 接受日期:2023-01-28 出版日期:2023-11-28 发布日期:2023-11-28
  • 作者简介:王朝辉 (1967—),男,高级工程师(教授级),从事风力发电技术、新能源发电及并网技术研究,E-mail: 13910624568@163.com
    黄松阁(1995—),男,通信作者,硕士,工程师,从事海上风电技术设计与高压交流输电技术研究,E-mail: huang_sg@hdec.com
  • 基金资助:
    国家重点研发计划资助项目(柔性直流海上换流平台轻型化关键技术研究,2021YFB2400600)。

Economic Analysis of Maximum Cross-Section of Submarine Cables for 66 kV Offshore Wind Farm Collection Systems

Chaohui WANG1(), Songge HUANG2(), Bin LIN2, Yuwei CHEN2, Shumin FAN2, Zhaohui SHI2   

  1. 1. CGN New Energy Holdings Corporation Limited, Beijing 100070, China
    2. Power China Huadong Engineering Corporation Limited, Hangzhou 311122, China
  • Received:2022-09-30 Accepted:2023-01-28 Online:2023-11-28 Published:2023-11-28
  • Supported by:
    This work is supported by National Key R&D Program of China (Key Technology Research on Light-weighting of Flexible DC Offshore Current Converter Platform, No.2021YFB2400600).

摘要:

海上风电场集电系统最大海缆截面选定拓扑优化设计是降低海上风电场总投资、提高传输效率及系统可靠性的有效手段。由于集电系统汇集网拓扑结构存在多种方式,且过往优化研究中并未考虑最大海缆截面约束条件,导致集电系统拓扑在非凸非线性寻优过程中效率低,难以获得全局最优的布局方案。提出了基于海上风电场区66 kV集电系统海缆最大截面经济性分析方法,在通过单亲遗传算法和最小生成树技术(MST)进行集电系统拓扑优化过程中加入了最优海缆最大截面选型的约束条件,减少搜索空间,提高寻优精度,加快搜索速度。算例分析结果表明,在集电系统规划中考虑海缆最大截面选型约束对经济性优化结果具有显著影响。

关键词: 海上风电场, 66 kV集电系统拓扑, 单亲遗传算法, 最小生成树技术, 海缆截面, 经济性优化, 海缆可靠性校验

Abstract:

Topology optimization design of the maximum submarine cable cross-section for offshore wind farm collection systems is an effective means to reduce the total investment of the offshore wind farms and improve the transmission efficiency and system reliability. Since the collection system pooling network has various types of topology and the constraints for selecting the maximum submarine cable cross-section are not considered in the existing optimization studies, there exist low efficiency and high difficulty in the non-convex and non-linear optimization search process of collection system topology, and it is difficult to obtain a global optimal layout scheme. To this end, we propose an economic analysis method for selection of the maximum submarine cable cross-section for 66 kV offshore wind farm collection systems. The constraints for selecting the optimal submarine cable maximum cross-section are added in the process of topology optimization of collection systems through uniparental genetic algorithm and minimum spanning tree technique (MST) to reduce the search space, improve the search accuracy and accelerate the search speed. The results of case study show that it has a significant impact on the economic optimization results to consider the selection constraints of the maximum submarine cable cross-section in the planning of collection system.

Key words: offshore wind farm, 66 kV collection system topology, uniparental genetic algorithm, minimum spanning tree technique, submarine cable cross-section, economic optimization, submarine cable reliability calibration