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

    Source: Journal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 002::page 04026004-1
    Author:
    Bai, Guan
    ,
    Lyu, Mingcheng
    ,
    Li, Xueping
    ,
    Huang, Sheng
    ,
    Zhu, Lin
    DOI: 10.1061/JLEED9.EYENG-6292
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe 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 ...
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      Data-Driven Control Strategy to Increase Active Power in Wake-Affected Wind Farms

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4312013
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    contributor authorBai, Guan
    contributor authorLyu, Mingcheng
    contributor authorLi, Xueping
    contributor authorHuang, Sheng
    contributor authorZhu, Lin
    date accessioned2026-08-20T11:18:49Z
    date available2026-08-20T11:18:49Z
    date copyright2026/02/06
    date issued2026
    identifier otherJLEED9.EYENG-6292.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312013
    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 ...
    publisherAmerican Society of Civil Engineers
    titleData-Driven Control Strategy to Increase Active Power in Wake-Affected Wind Farms
    typeJournal Article
    journal volume152
    journal issue2
    journal titleJournal of Energy Engineering
    identifier doi10.1061/JLEED9.EYENG-6292
    journal fristpage04026004-1
    journal lastpage04026004-9
    page9
    treeJournal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 002
    contenttypeFulltext
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