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
张乘熙 1向涛 2叶欣 2李昂1
作者信息
- 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
- 折叠
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.
Abstract
Residential tiered electricity pricing has been put into practice for some years in China.To solve the shortcom-ings of the existing methods,a new formulation method of tiered electricity pricing based on clustering analysis of electric-ity 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Key words
residential tiered electricity pricing/k-means++ clustering algorithm/electricity price optimization model/data analysis of electricity consumption引用本文复制引用
基金项目
陕西省教育厅专项科研项目(15JK1125)
出版年
2024
NETL
NSTL
万方数据