一种PMU数据清洗方法  

A PMU Data Cleaning Method

作　　者：唐亚 Tang Ya

机构地区：[1]云南电网有限责任公司文山供电局,云南文山663000

出　　处：《电力系统装备》2021年第4期79-80,共2页Electric Power System Equipment

摘　　要：同步相量测量单元PMUs(Phasor Measurement Units)因其准确性、快速性及同步性,其数据被广泛应用于多个方面,但受多种因素影响,其数据质量不高,为此本文设计了一种数据清洗方法。该方法首先利用Bhattacharyya距离评估当前数据与历史数据的相似性,然后根据相似性情况采用斜率变化规律定位异常数据,最后通过实际数据证明了该算法的有效性。Phasor Measurement Units(Phasor Measurement Units,PMUs)are widely used in many aspects due to their accuracy,rapidity and synchronization,but their data quality is not high due to many factors,so this paper is designed A method of data cleaning.The method first uses the Bhattacharyya distance to evaluate the similarity between current data and historical data,and further uses the slope change rule to locate abnormal data based on the similarity.Finally,actual data proves the effectiveness of the algorithm.

关 键 词：PMU 数据清洗 BHATTACHARYYA距离 斜率 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]