基于模糊聚类的园区配网峰谷特性和潜力分析研究

Analysis of Potential Shifting and Filling Potential of Campus Distribution Network Based on Fuzzy Clustering

[目的]为了挖掘园区配网用户负荷大数据的潜在物理意义,从而为园区经营主体提供优化决策依据,对配网峰谷特性和潜力进行研究。[方法]基于对于分时电价划分方法的研究,应用模糊数学理论,利用隶属度函数、构建模糊相似矩阵,对具有移峰填谷潜力的用户负荷曲线进行峰平谷时段划分。[结果]经对比验证,划分结果与实际情况高度一致,证明此种方法的有效性,并在此基础上对园区配网的峰谷特性和移峰填谷潜力进行分析研究。[结论]研究结论对园区配网制定安全、经济、可靠的运行策略具有理论意义和实际价值。

[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.