Large scale distributed generation (DG) connected into the distribution network (DN) increases the difficulty of DN to cope with the uncertainty and centralized control. Therefore, this paper proposed a multi-timescale distributed active-reactive coordinated optimization method based on DG cluster (DGC) of DN. At the day-ahead level a centralized active-reactive power coordinated optimization model is established to arrange the power and start-stop scheme of long-time adjustment equipment. Then, considering the influence of DG and load forecast errors on voltage, a DGC cluster model is established. At the intraday level, targeting the minimum of optimal cost and voltage deviation, a distributed active-reactive power coordinated optimization model is established based on DGC and synchronous alternating direction multiplier method, to revise the day-ahead scheme of each continuous adjustment equipment. Finally, taking the IEEE-33 node system as an example, the effectiveness of the schedule method proposed in this paper was verified.


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    Titel :

    Multi-timescale distributed active and reactive power coordinated optimization method for distribution network


    Beteiligte:
    Chen, Yuhang (Autor:in) / Lu, Wanxin (Autor:in) / Zhou, Shengzhi (Autor:in) / Sun, Ming (Autor:in) / Song, Zhao (Autor:in)


    Erscheinungsdatum :

    2022-10-12


    Format / Umfang :

    1097586 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch