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大型海上风电场风机微观选址与集电系统联合优化

黄永生 黄玲玲

电测与仪表2023,Vol.60Issue(12):71-76,89,7.
电测与仪表2023,Vol.60Issue(12):71-76,89,7.DOI:10.19753/j.issn1001-1390.2023.12.010

大型海上风电场风机微观选址与集电系统联合优化

Joint optimization of wind turbine micro-location and power collection system in offshore wind farm

黄永生 1黄玲玲1

作者信息

  • 1. 上海电力大学,上海 200090
  • 折叠

摘要

Abstract

The offshore wind power development has become one of the key contents of renewable energy development in China.In the development and construction of offshore wind farms,the micro-location of wind turbines is related to the gen-eration efficiency of all wind turbines in the wind farms,while the power collection system is responsible for the important task of collecting the wind power generated by wind turbines and sending it to the onshore power grid,and there is a mutual restriction and influence relationship between the cost and generation income.In order to obtain more power generation ben-efits from offshore wind farms,this paper proposes a two-level joint optimization method of wind turbine micro-location and power collection system.The upper layer adopts genetic algorithm to optimize turbine micro-location,and the lower layer a-dopts ant colony algorithm(ACS)to optimize the topology of power collection system.The result of case analysis shows that the combined optimization method of wind turbine micro-location and power collection system takes into account the long-term total power generation benefit of wind farm and the investment cost of power collection system,which is more economical.

关键词

海上风电场/微观选址/集电系统/联合优化

Key words

offshore wind farm/micro-location/power collection system/joint optimization

分类

信息技术与安全科学

引用本文复制引用

黄永生,黄玲玲..大型海上风电场风机微观选址与集电系统联合优化[J].电测与仪表,2023,60(12):71-76,89,7.

基金项目

国家自然科学基金资助项目(51707112) (51707112)

电测与仪表

OA北大核心CSTPCD

1001-1390

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