Doubly-Fed Induction Generator (DFIG) is capable of decoupling active and reactive power control and can be used as a new type of reactive power source to provide reactive power support to the grid and participate in the reactive power regulation of wind farms. Thus, tapping the limits of DFIG’s reactive power compensation capacity to ensure that the wind farm can meet the reactive power demand of the system only by relying on DFIG, which can greatly improve the economic benefits of the wind farm. Therefore, this paper starting from a single DFIG, considering the constraints of stator and rotor current and static stability, the reactive power limit of DFIG is explored. Secondly, based on the constraints of DFIG output limit reactive power, the reactive power optimization method of wind farms is studied. Taking network loss and average voltage deviation as objective functions, the improved particle swarm optimization (PSO) algorithm is used to solve the optimal reactive power demand of wind farms and perform reactive power allocation. Finally, the effectiveness of the proposed reactive power optimization strategy is verified by the IEEE14 node system.


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    Titel :

    Reactive Power Optimization Strategy of Wind Farm based on Particle Swarm Optimization Algorithm


    Beteiligte:
    Jiang, Feng (Autor:in) / Zhang, Cunliang (Autor:in) / Li, Tie (Autor:in) / Xiao, Huafeng (Autor:in) / Cui, Dai (Autor:in)


    Erscheinungsdatum :

    28.10.2022


    Format / Umfang :

    461485 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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