Abstract:
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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