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

作　　者：黄永生 黄玲玲 Huang Yongsheng;Huang Lingling(Shanghai Electric Power University,Shanghai 200090,China)

机构地区：[1]上海电力大学,上海200090

出　　处：《电测与仪表》2023年第12期71-76,89,共7页Electrical Measurement & Instrumentation

基　　金：国家自然科学基金资助项目(51707112)。

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。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 generation 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 benefits 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 adopts 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 

分 类 号：TM614[电气工程—电力系统及自动化]