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文章摘要
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
Received:April 30, 2020  Revised:May 14, 2020
DOI：10.19753/j.issn1001-1390.2023.12.010
中文关键词: 海上风电场  微观选址  集电系统  联合优化
英文关键词: 
基金项目:国家自然科学基金项目（ 51707112）
Author NameAffiliationE-mail
huangyongsheng* Shanghai Electric Power University 1012741072@qq.com 
huanglingling Shanghai Electric Power University linglinghuang82@126.com 
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中文摘要:
      海上风电开发已经成为我国可再生能源开发的重点内容之一。在海上风电场的开发与建设中，风机的微观选址关系着风电场中所有风机的发电效率，而集电系统承担汇集风机发出的风电功率并外送至陆上电网的重要任务，两者在成本与发电收益上存在相互制约与相互影响的关系。为了获得海上风电场更大的发电收益，文中提出了一种风机微观选址与集电系统双层联合优化方法，上层采用遗传算法进行风机微观选址优化，下层采用蚁群算法（ACS）实现集电系统拓扑结构优化。案例分析结果表明，风机微观选址与集电系统联合优化方法兼顾了风电场长期总发电效益与集电系统的投资成本，具有更高的经济性。
英文摘要:
      
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