基于K-means聚类算法的负荷峰谷时段划分  

Load Peak-valley Period Division Based on K-means Clustering Algorithm

作　　者：李伟龙 张晓晴 胡雅洁 潘旭新 刘亚男 张师[2] LI Wei-long;ZHANG Xiao-qing;HU Ya-jie;PAN Xu-xin;LIU Ya-nan;ZHANG Shi(State Grid Henan Electric Power Company Luoyang Power Supply Company,Luoyang 471000,China;School of Electrical Engineering,Northeast Electric Power University,Jilin 132012,China)

机构地区：[1]国网河南省电力公司洛阳供电公司,河南洛阳471000 [2]东北电力大学电气工程学院,吉林吉林132012

出　　处：《电气开关》2024年第4期29-31,共3页Electric Switchgear

摘　　要：合理制定分时电价策略有利于削峰填谷,有利于电网的安全稳定、经济地运行,因此负荷的峰谷时段划分是一项重要的工作。首先分析了不同日负荷波动特点,研究了K-means算法的原理,基于K-means研究了负荷峰谷时段划分方法。通过分析可知,不同季节的划分结果不同,制定分时电价时应该考虑季节因素。The reasonable formulation of time-sharing electricity price strategy is conducive to peak load shifting and valley filling,and the safe,stable and economic operation of the power grid,so the peak and valley period division of load is an important work.In this paper,we first analyze the characteristics of different daily load fluctuations,study the principle of K-means algorithm,and study the division method of load peak and valley period based on K-means.The analysis of this paper shows that the division results of different seasons are different,so the seasonal factors should be considered when setting time-sharing electricity price.

关 键 词：聚类算法 需求侧响应 峰谷负荷 季节因素 

分 类 号：TM71[电气工程—电力系统及自动化]