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Data-Driven Control Strategy to Increase Active Power in Wake-Affected Wind Farms

dc.contributor.authorBai, Guan
dc.contributor.authorLyu, Mingcheng
dc.contributor.authorLi, Xueping
dc.contributor.authorHuang, Sheng
dc.contributor.authorZhu, Lin
dc.date.accessioned2026-08-20T11:18:49Z
dc.date.available2026-08-20T11:18:49Z
dc.date.copyright2026/02/06
dc.date.issued2026
dc.identifier.otherJLEED9.EYENG-6292.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312013
dc.description.abstractAbstractThe wake effect in wind farms (WFs) leads to wind energy loss of wind turbines (WTs). This paper proposes a data-driven control (DDC) strategy to optimize pitch angle and active power of WTs in wake-affected WFs. As the data resource, a model ...
dc.publisherAmerican Society of Civil Engineers
dc.titleData-Driven Control Strategy to Increase Active Power in Wake-Affected Wind Farms
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Energy Engineering
dc.identifier.doi10.1061/JLEED9.EYENG-6292
dc.journal.fristpage04026004-1
dc.journal.lastpage04026004-9
dc.page9
dc.treeJournal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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