Line-loss anomaly detection method for electric power measurement automation system

Abstract

The invention provides a line-loss anomaly detection method for an electric power measurement automation system. The method comprises the steps of S1, acquiring a line loss daily fluctuation index and a line loss variation tendency index of each line through the calculation of a line loss data table; S2, respectively judging whether the line loss daily fluctuation index of each line exceeds a first threshold value or not and respectively judging whether the line loss variation tendency index of each line exceeds a second threshold value or not; S3, judging a line with the line loss daily fluctuation index thereof to exceed the first threshold value or the line loss variation tendency index thereof to exceed the second threshold value as a line loss abnormal line. According to the technical scheme of the invention, two abnormal conditions, namely the line loss mutation anomaly and the line loss variation tendency anomaly, can be found out based on the line loss daily fluctuation index and the line loss variation tendency index of each line. Meanwhile, through adjusting the above threshold values, the anomalies of different degrees can be found out. The number of daily abnormal lines can be adopted to evaluate the health degree of the entire power grid. Therefore, the finding sensitivity of the existing system for line loss anomalies is improved. The defect that the manual inspection and discovery is not timely can be overcome. The reasons for line loss anomalies can be further detected.

Description

technical field [0001] The invention relates to the technical field of electric power information, in particular to a method for detecting abnormal line loss in an electric power metering automation system. Background technique [0002] Line loss is an important comprehensive economic index to measure electric power enterprises. It runs through the whole process of "generation, transmission, distribution and consumption", and comprehensively reflects the level of power grid planning and design, production technology and operation management. How to dig out the abnormal information hidden behind the data through the data of line loss, and identify and terminate the abnormality in time is very important. In the case of a large amount of data and a complex structure, it is necessary to design a simple, efficient, and rigorous line loss anomaly detection system for unified analysis and troubleshooting. [0003] At present, the domestic systems with line loss statistics mainly i...

AI Technical Summary

Problems solved by technology

[0003] At present, domestic systems with line loss statistics mainly include marketing system and metering automation system, but these two systems only stay at the level of line loss statistics, and have not conducted further research on abnormal conditions

At the same time, the huge information related to line loss is scattered in the three major systems of marketing system, distribution network dispatching system and metering automation. In different modules, you need to search back and forth in different interfaces, which is time-consuming and laborious

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