摘要
提出了通过聚类数据挖据技术分析大量变压器的方法,充分利用计量自动化系统采集的实时负载数据,对电网中的变压器进行聚类分群,找出具有相同特征的变压器,从而可以对分群进行统一的详细分析,由此了解变压器的运行状态。
A Clustering Algorithm based on data mining was proposed to analyze a large number of transformers. The real-time load data collected by the metering automation systems was used, transformers were clustered according to the similar characteristics. Then the clusters can be analyzed uniformly to understanding the operating status of the transformers.
出处
《机电工程技术》
2013年第9期51-55,共5页
Mechanical & Electrical Engineering Technology
基金
广东电网公司重点科技项目(编号:K-GD2012-341)
关键词
变压器
负载分析
聚类
数据挖掘
transformer
load analysis
clustering
data mining
