Abnormal Data Identification of Synchronous Line Loss Based on the Approximate Equality of Rank Sum
Wang Fangyu1, Liu Wenying1, Chen Xinxin1, Wang Weizhou2, Bai Runqing2
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electrical Power University Beijing 102206 China; 2. State Grid Gansu Electric Power Company Lanzhou 730050 China
Abstract：Aiming at the problem that abnormal data of synchronous line loss is difficult to identify because of the huge amount of data,a new method based on the characteristics of the approximate equality of "rank sum" was proposed to identify the abnormal data.Firstly,the "rank sum" difference theory was introduced to analyze the difference of the "rank sum" between the synchronous line loss and the theoretical line loss in the same period.Then,based on the traditional α threshold,a new threshold calculation method was proposed only considering misjudgment rate.The threshold could consider the influence of misjudgment rate and missed judgment rate simultaneously,which helps to judge whether the data set contains abnormal data.On this basis,the identification model of abnormal data was established to further judge the location of the abnormal data.Finally,taking actual operation data of Gansu grid as an example,simulation was carried out to verify the effectiveness of the abnormal data identification method proposed in this paper.
王方雨, 刘文颖, 陈鑫鑫, 王维洲, 拜润卿. 基于“秩和”近似相等特性的同期线损异常数据辨识方法[J]. 电工技术学报, 2020, 35(22): 4771-4783.
Wang Fangyu, Liu Wenying, Chen Xinxin, Wang Weizhou, Bai Runqing. Abnormal Data Identification of Synchronous Line Loss Based on the Approximate Equality of Rank Sum. Transactions of China Electrotechnical Society, 2020, 35(22): 4771-4783.
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