基于蜉蝣算法的变间距规则排布海上风电场微观选址优化方法  

Optimization method for micro-siting of offshore wind farms based on the mayfly algorithm with variable spacing rules

作　　者：孙宇 许昌[2] 韩星星[2] 蒋小雪 谭康辉 SUN Yu;XU Chang;HAN Xingxing;JIANG Xiaoxue;TAN Kanghui(Shandong Electric Power Engineering Consulting Institute Co.,Ltd.,Jinan 250013,China;College of New Energy,Hohai University,Changzhou 213200,China)

机构地区：[1]山东电力设计咨询院有限公司,山东济南250013 [2]河海大学新能源学院,江苏常州213200

出　　处：《新能源科技》2025年第1期28-34,共7页New Energy Science and Technology

基　　金：国家自然基金(52106238);中国博士后科学基金资助项目(2024M760739);中央高校基本科研业务费专项资金资助(B240201171)。

摘　　要：我国海上风电正处于快速发展阶段,但如何进一步提升机组能效和降低开发成本仍然是当前的关键规划问题。文章提出了一种基于七参数的非等间距规则排布优化方法,通过引入群体优化算法——蜉蝣算法,对该布局方法的关键参数进行优化,从而实现对海上风电场规则布局的整体优化。通过案例验证了所提优化方法的有效性。文章研究的微观选址规则布局优化方法为大型风电基地的规划设计提供了有价值的参考,能够在风电基地场址划分和布局设计等工作中发挥指导作用。China’s offshore wind power is currently in a rapid development stage,but improving turbine efficiency and reducing development costs remain key planning challenges.This paper proposes a non-equidistant rule-based layout optimization method based on seven parameters.By introducing a group optimization algorithm—the Mayfly Algorithm—key parameters of the layout method are optimized to achieve overall optimization of the offshore wind farm’s regular layout.The effectiveness of the proposed optimization method is verified through case studies.The micro-siting rule-based layout optimization method studied in this paper provides valuable insights for the planning and design of large-scale wind farm bases and can serve as a guide in tasks such as site division and layout design for wind power projects.

关 键 词：海上风电场 微观选址优化 蜉蝣算法 规则排布 

分 类 号：TK89[动力工程及工程热物理—流体机械及工程]