The conventional feature capture of line loss anomaly detection in distribution station area adopts the form of periodic extraction,which has low accuracy and increases the frequency of false detection.In order to solve this problem,the design and analysis of abnormal detection and treatment technology of line loss in low-voltage distribution station area are put forward.Firstly,according to the test requirements,the abnormal data is collected.Secondly,the accuracy is extracted by multi-point method to realize the multi-point extraction of abnormal characteristics of line loss.Finally,the line loss anomaly detection model of multi-sensor stations is constructed,and the anomaly treatment is realized by means of continuous spectrum tracking and line loss balance correction.The test results show that the method designed in this paper has high efficiency,flexibility,strong detection adaptability and good application value.
low-voltage distribution station arealine loss in station areaabnormal detectionline loss managementfixed point monitoringabnormal recognition
NETL
NSTL
万方数据
