现代电子技术2024，Vol.47Issue(10)：1-5,5.DOI:10.16652/j.issn.1004-373x.2024.10.001
用户用电负荷变化的异常检测与识别
Abnormal detection and identification of changes in user electricity load
摘要
Abstract
In the era of smart grids,most abnormal electricity consumption behaviors will be accompanied by the changes in electricity load.The research on user electricity consumption behavior is crucial for the operation and management of the power system.On this basis,a method of directly using load data for calculation is proposed to determine whether users have abnormal electricity consumption behavior,which can be realized by the correlation between the characteristic electricity consumption load curve and the daily electricity consumption load curve.In the process of correlation calculation,the Euclidean distance is combined with the Pearson correlation coefficient to more accurately determine whether the user's electricity load has undergone significant changes.An adaptive threshold strategy is adopted for the experimental research on 500 sets of data to improve the accuracy and flexibility of judgment.The correlation calculation results show that 122 groups'data have excessive load changes,and 99 groups'data have abnormal load events.The accuracy of this method can reach 81.1%.关键词
异常用电行为/负荷检测/日用电负荷曲线/特征负荷曲线/相关度/皮尔逊相关系数/欧氏距离/阈值判断Key words
abnormal electricity consumption behavior/load detection/daily electricity load curve/characteristic load curve/correlation/Pearson correlation coefficient/Euclidean distance/threshold judgment分类
电子信息工程引用本文复制引用
李晗轲,李璟,王颖,邹国平,陈倩楠,蔡慧..用户用电负荷变化的异常检测与识别[J].现代电子技术,2024,47(10):1-5,5.基金项目
国家自然科学基金项目(52377017) （52377017）
