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基于线路损耗预估和断路器配置优化的大型海上风电场集电系统规划

  • Xiaoliang Zhang
  • , Jincheng Liao
  • , Xiuli Wang
  • , Yi Lu
  • , Chao Ding
  • , Haitao Zhang
  • , Boyang Zhao
  • Xi'an Jiaotong University
  • State Grid Zhejiang Electric Power Co., Ltd

科研成果: 期刊稿件文章同行评审

摘要

The planning of the electrical collector system is an important part of offshore wind farm design. It is of great significance to consider the line loss and the configuration of circuit breakers to improve the economy and reliability of offshore wind farm. A line loss pre-estimation model is established to determine the optimal line selection. Based on the number of wind turbines connected to each line,a planning model suitable for large-scale offshore wind farm electrical collector system is developed. A line-level reliability evaluation model is constructed,enabling the simultaneous optimization of line losses and reliability. A 375 MW offshore wind farm is taken as a study case to analyze the reliability of the electrical collector system,and the results indicate that the line-level reliability evaluation model can effectively optimize the configuration of circuit breakers in the electrical collector system. For a 750 MW large-scale offshore wind farm,the multi-substation planning is carried out,and the results show that the model can effectively reduce the cost of the electrical collector system and has the ability to efficiently solve the multi-substation topology planning problem for large-scale offshore wind farm. The proposed method does not require pre-partitioning of wind farm and has strong engineering applicability as well as global optimization ability.

投稿的翻译标题Electrical collector system planning for large-scale offshore wind farm based on line loss estimation and circuit breaker configuration optimization
源语言繁体中文
页(从-至)33-40
页数8
期刊Dianli Zidonghua Shebei/Electric Power Automation Equipment
45
12
DOI
出版状态已出版 - 12月 2025

关键词

  • circuit breaker configuration optimization
  • electrical collector system
  • line loss
  • mixed-integer linear programming
  • offshore wind power
  • reliability analysis

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