电测与仪表2018，Vol.55Issue(6)：105-109,115,6.
智能电能表综合性能评级方法研究
Research on comprehensive performance rating method for smart meters
摘要
Abstract
In this paper,a new method of smart meter performance rating based on data mining method is proposed considering the lack of comprehensive performance evaluation of smart meters now.On the basis of the performance test data of a large number of smart meter samples,the representative test data is selected as the performance rating index.Then,the principal component method is used to analyze the influence degree of different test points under a certain rating index,and the weight value of different test points is given,so the data matrix of each rating index is obtained.The k-means clustering analysis method is used to construct the comprehensive performance rating model of the smart meter,and the rating results are given for samples.Finally,smart meter samples are selected from three different manufacturers randomly and their distribution of rating results analyzed considering failure rate in the field.The rating results of the samples verify the proposed method of comprehensive performance for smart meters is reasonable and reliable.关键词
智能电能表/综合性能评级/主成分分析/k均值聚类Key words
smart meters/comprehensive performance rating/principal component analysis/k-means clustering分类
信息技术与安全科学引用本文复制引用
姜洪浪,赵婷,段晓萌,左嘉,王晓东,王爽..智能电能表综合性能评级方法研究[J].电测与仪表,2018,55(6):105-109,115,6.基金项目
中国电力科学研究院青年科研基金资助项目(JL84-17-001) （JL84-17-001）
