Aiming at the problem of the abnormal power data in distribution network may directly lead to power network opera-tion failure,an abnormal power data detection algorithm of digital distribution network combined with time series extraction and Voronoi outlier detection(VOD)is proposed.The dimensionality reduction and numbering of distribution network power data are completed through the improved piecewise linear representation(PLR),and the abnormal power data detection is real-ized combined with VOD.After extracting the time series of distribution network power data,there are 28 and 26 key points of normal sequence and abnormal sequence,respectively,and the reduction degrees of normal sequence and abnormal sequence are 13％and 12％,respectively.The detection of abnormal points of distribution network power amount data shows that point No.6 and No.18 are abnormal points,and the corresponding sample sequence segments are 120 to 162 and 312 to 348,respective-ly.The proposed anomaly detection method of digital distribution network power data has high effectiveness,which can predict the anomaly of distribution network information physical system.
关键词
配电网/时间序列/维诺图/VOD/异常数据
Key words
distribution network/time serie/Voronoi diagram/VOD/abnormal data
维普
万方数据