Abstract：According to semi-trapezoidal membership function, this paper adopts fuzzy clustering method to peak and valley time period partition, and takes into account both the peak-valley morphological features of load curve of power system and the corresponding requirements of users. By analyzing the summer and winter daily load data of somewhere in Sichuan province, it shows that this method can effectively partition peak and valley time periods and provide references for subsequent implementation of peak and valley time price.
郑成, 田宇, 陈一怀. 基于模糊聚类的峰谷时段划分[J]. 电气技术, 2016, 17(6): 13-17.
Zheng Cheng, Tian Yu, Chen Yihuai. Research of Peak and Valley Time Period Partition based on Fuzzy Clustering. Electrical Engineering, 2016, 17(6): 13-17.