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
李鹏1
作者信息
- 1. 国网宁夏电力有限公司中卫供电公司,宁夏 中卫 755000
- 折叠
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.
Abstract
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Key words
correlation analysis/power quality/data-driven引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据