关联性分析方法在电能质量扰动识别与溯源评估中的应用  

Application of correlation analysis method in power quality disturbance identification and source assessment

作　　者：李鹏 LI Peng(Zhongwei Power Supply Company,State Grid Ningxia Electric Power Co.,Ltd.,Zhongwei Ningxia 755000,China)

机构地区：[1]国网宁夏电力有限公司中卫供电公司,宁夏中卫755000

出　　处：《宁夏电力》2024年第6期19-25,共7页Ningxia Electric Power

基　　金：国网宁夏电力有限公司科技项目(5229ZW230003)。

摘　　要：关联性分析是一种统计分析方法,能从电能质量监测数据中找出存在于不同监测点、多源异构监测数据间的关联模式,挖掘出蕴藏于其中的电网运行特性,因此被广泛应用于电能质量领域。首先,对关联性分析方法进行了详细分析;其次,总结了关联性分析方法在电能质量中的三类主要的应用场景:扰动识别、扰动溯源、综合评估;最后,分析了关联性分析方法在电能质量中的适用条件,并对关联性分析未来在电能质量中的应用趋势提出了展望。Correlation analysis is a statistical method that can identify correlation patterns between different monitoring points and multi-source heterogeneous monitoring data from power quality monitoring datasets.This method uncovers the inherent operational characteristics of the power grid,making it widely applicable in the field of power quality.First,this paper provides a detailed analysis of the correlation analysis method.Next,it summarizes three main application scenarios of this method in power quality:disturbance identification,disturbance source tracing,and comprehensive assessment.Finally,the paper discusses the applicable conditions for correlation analysis in power quality and presents prospects for its future applications in this field.

关 键 词：关联性分析 电能质量 数据驱动 

分 类 号：TM711[电气工程—电力系统及自动化]