一种基于电量聚类分析的居民阶梯电价制定方法  

A Formulation Method of Residential Tiered Electricity Pricing Based on Clustering Analysis of Electricity Consumption

作　　者：张乘熙 向涛 叶欣 李昂[1] ZHANG Chengxi;XIANG Tao;YE Xin;LI Ang(School of Electrical Engineering,Shaanxi University of Technology,Hanzhong 723001,China;Hanzhong Electric Power Supply Company of State Grid Shaanxi Power Co.,Hanzhong 723000,China)

机构地区：[1]陕西理工大学电气工程学院,陕西汉中723001 [2]国网陕西省电力公司汉中供电公司,陕西汉中723000

出　　处：《电工技术》2024年第6期117-120,共4页Electric Engineering

基　　金：陕西省教育厅专项科研计划项目(编号15JK1125)。

摘　　要：我国居民用电执行阶梯电价政策。针对现有阶梯电价制定方法存在的不足,采用基于电力大数据的分析思想,形成一种新的阶梯电价制定方法。首先介绍用电量数据的结构特点和k-means++算法的基本原理,将聚类结果作为测算,验证了该方法的优越性。Residential tiered electricity pricing has been put into practice for some years in China.To solve the shortcomings of the existing methods,a new formulation method of tiered electricity pricing based on clustering analysis of electricity consumption data is proposed in this paper.First the structural characteristics of electricity consumption data and the basic principle of k-means++clustering algorithm are outlined.The clustering result is used as the basis for making tiered level.Second the electricity price optimization model is established.The optimization result is used as the basis for the formulation of tiered unit price.Finally an example based on the sampled data is calculated to verify the superiority of the proposed method.

关 键 词：居民阶梯电价 k-means++算法 电价模型 用电量数据分析 

分 类 号：TM930[电气工程—电力电子与电力传动]