RAs distributed photovoltaic (PV) continues to develop, the accuracy of power prediction for regional clusters of distributed PV power stations directly influences the stable operation of the power system. Accurate distributed PV division is useful for regional distributed PV power prediction. This paper proposes a fuzzy-c means (FCM) clustering method considering spatial and temporal correlation between different distributed PV. Firstly, the astronomical and geographical elements of PV stations are used as primary division indicators, and then the information of PV component parameter of each cluster is used as secondary division indicators. A complete two-level PV power station cluster division method is formed by FCM clustering algorithm. Finally, the effectiveness of the clustering method used in this paper is validated.


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    Titel :

    Regional Photovoltaic Power Stations Cluster Considering the Spatial-temporal Correlation


    Beteiligte:
    Chen, Long (Autor:in) / Tang, Danhong (Autor:in) / Ye, Ying (Autor:in) / Dong, Hui (Autor:in) / Yu, Hao (Autor:in) / Sun, Gaiping (Autor:in) / Zhao, Delin (Autor:in)


    Erscheinungsdatum :

    10.10.2024


    Format / Umfang :

    1798686 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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