| Summary: | [Introduction] The paper aims to excavate the potential physical significance of the large load data of distribution network users in the park, and provide the basis for optimizing the decision-making of the park operators, the characteristics and potential of peak and valley of distribution network are studied in this paper. [Method] Based on the research of time-sharing tariff division method, this paper used the theory of fuzzy mathematics, used membership function and constructed a fuzzy similarity matrix to divide the peak-to-valley period of user load curve with the potential of peak shifting and valley filling. [Result] Through comparison and verification, the result of partition is highly consistent with the actual situation, which proves the effectiveness of this method. On this basis, the peak-valley characteristics and the potential of peak-valley shifting and valley filling of the park distribution network are analyzed and studied. [Conclusion] The research conclusion has theoretical significance and practical value for making safe, economic and reliable operation strategies of the park distribution network.
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