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基于编码规划矩阵的海上风电基地送出系统规划方法

边晓燕 左轩泽 潘汀莹 周波 杨悦 林顺富

电力系统保护与控制2025,Vol.53Issue(10):130-141,12.
电力系统保护与控制2025,Vol.53Issue(10):130-141,12.DOI:10.19783/j.cnki.pspc.241036

基于编码规划矩阵的海上风电基地送出系统规划方法

A planning method for transmission system of offshore wind power base based on a coded planning matrix

边晓燕 1左轩泽 1潘汀莹 2周波 1杨悦 1林顺富1

作者信息

  • 1. 上海电力大学电气工程学院,上海 200090
  • 2. 国网临海市供电公司,浙江 临海 317000
  • 折叠

摘要

Abstract

The development of offshore wind power base(OWPB)offers advantages in coordinated layout and unified planning.However,planning methods suitable for small-scale offshore wind farms are no longer adequate for OWPB at the ten-gigawatt level.Transmission system planning for such bases involves partitioning the wind power base,locating offshore booster and aggregation stations,optimizing transmission routes,and selecting grid connection points.To address these complexities,this paper proposes a planning method for grid integration of OWPB based on a coded planning matrix.First,the improved K-means cluster method is introduced to partition the OWPB.Second,the improved gravity center method is adopted to locate the offshore collector and booster stations,considering varying cable transmission loss and capacities of wind turbines.Then,aiming for optimal economic performance,a planning model based on a coded planning matrix is established to achieve coordinated planning of partitioning,station locating and sizing,cable selection,and grid connection point optimization.Finally,simulations are conducted using a real OWPB for verification,and the results show that the proposed method achieves faster computation and more economical planning outcomes than traditional planning methods.

关键词

海上风电基地/改进重心法/选址定容/编码规划矩阵

Key words

offshore wind power base/improved gravity center method/locating and sizing/coded planning matrix

引用本文复制引用

边晓燕,左轩泽,潘汀莹,周波,杨悦,林顺富..基于编码规划矩阵的海上风电基地送出系统规划方法[J].电力系统保护与控制,2025,53(10):130-141,12.

基金项目

This work is supported by the National Natural Science Foundation of China(No.51977127). 国家自然科学基金项目资助(51977127) (No.51977127)

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