摘要
本文根据半梯形隶属函数,采用基于模糊聚类的方法对峰谷时段进行划分调整,并兼顾了系统负荷曲线本身的峰谷形态特征和用户侧的相应需求。通过四川某地的夏季和冬季日负荷数据的算例验证分析表明,该方法可以有效的进行峰谷时段划分,能够为后续实施峰谷分时电价提供参考依据。
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.
出处
《电气技术》
2016年第6期13-17,共5页
Electrical Engineering
关键词
分时电价
峰谷时段划分
隶属函数
模糊聚类
time-of-use price
peak and valley time period partition
membership function
fuzzy clustering
