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Herein, a multicluster distributed optimization strategy based on wake\u2010DBSCAN, specifically designed for environments affected by wake interference is proposed. First, clustering analysis on the wind turbine layout and wind conditions to establish a foundation for efficient distributed computation is performed. Based on the clustering results, wake analysis is conducted to plan and optimize the operational strategy for each wind turbine cluster, resulting in a distributed optimization strategy for their operation. Additionally, simulation experiments are conducted on micrositing and time\u2010varying wind conditions using real\u2010world data from a wind farm in the Arua region. The experimental results demonstrate that the proposed algorithm can effectively improve the computational efficiency of wake optimization, while ensuring the effect of the wake optimization algorithm in actual wind farms as much as possible, which is more in line with the wake optimization needs of actual wind farms. The algorithm proposed in this article provides valuable insights into wind turbine operation and maintenance under time\u2010varying conditions.<\/jats:p>","DOI":"10.1002\/aisy.202400884","type":"journal-article","created":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T08:44:16Z","timestamp":1738745056000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multicluster Distributed Optimization Strategy for Turbine Wake Environment"],"prefix":"10.1002","volume":"7","author":[{"given":"Zhenping","family":"Yu","sequence":"first","affiliation":[{"name":"Shenzhen International Graduate School Tsinghua University  Shenzhen 518055 China"},{"name":"Shenzhen Key Laboratory of Advanced Technology for Marine Ecology Tsinghua University  Shenzhen 518055 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinmeng","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering Huazhong University of Science and Technology  Wuhan 430074 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yedong","family":"Huang","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School Tsinghua University  Shenzhen 518055 China"},{"name":"Shenzhen Key Laboratory of Advanced Technology for Marine Ecology Tsinghua University  Shenzhen 518055 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunyu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School Tsinghua University  Shenzhen 518055 China"},{"name":"Shenzhen Key Laboratory of Advanced Technology for Marine Ecology Tsinghua University  Shenzhen 518055 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangming","family":"Cui","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School Tsinghua University  Shenzhen 518055 China"},{"name":"Shenzhen Key Laboratory of Advanced Technology for Marine Ecology Tsinghua University  Shenzhen 518055 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1799-5847","authenticated-orcid":false,"given":"Juntian","family":"Qu","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School Tsinghua University  Shenzhen 518055 China"},{"name":"Shenzhen Key Laboratory of Advanced Technology for Marine Ecology Tsinghua University  Shenzhen 518055 China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,2,5]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1260\/0309524043028145"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10546-019-00473-0"},{"key":"e_1_2_9_4_1","first-page":"2020","volume":"1","author":"Pedersen M. 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