赵晋泉;夏雪;刘子文;徐春雷;苏大威;闪鑫;

• 1:河海大学能源与电气学院
• 2:国网江苏省电力有限公司
• 3:南瑞集团公司(国网电力科学研究院)

摘要(Abstract)：

我国交直流大电网的安全稳定运行与新能源的消纳对需求侧响应提出了较高要求,电力用户画像对需求侧响应的实施具有重要意义。文章提出了一种电力用户用电特征选择与行为画像方法。首先,通过构造聚合回报指标,兼顾集聚度和分离度,实现了最优分类数目的自动确定,并在此基础上完成k-means聚类;然后,将最大相关最小冗余准则应用于电力用户用电特征选取,兼顾了有效性和精简性,通过遍历法求得优质特征集;再采用打分制对优质特征进行量化,通过雷达图和柱状图等进行展示,实现了用户用电行为画像。最后通过算例分析表明了所提方法的有效性。

关键词(KeyWords)： 用电行为画像;特征选择;最大相关最小冗余准则;聚合回报指标;聚类分析

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2017YFB0902600);; 国家电网有限公司科技项目(SGJS0000DKJS1700840)~~

作者(Author): 赵晋泉;夏雪;刘子文;徐春雷;苏大威;闪鑫;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.2138

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