Electricity theft user analysis method based on electricity acquisition system and outlier algorithm

Abstract

The invention relates to an electricity theft user analysis method based on an electricity acquisition system and an outlier algorithm. The method belongs to the field of power consumer data analysis,and comprises the following steps: step 1, selecting a high-electricity-larceny suspected special transformer consumer industry according to the current electricity-theft-preventing working situation, counting the number of industry consumers in an electricity utilization acquisition system, and acquiring electric quantity data of all special transformer consumers in the industry; step 2, preprocessing the data, screening and deleting blank values and abnormal values in the user electric quantity data, deleting miscounting and missing counting values according to records of an electricity consumption information system, and storing residual data as original sample data; step 3, inquiring and exporting the registered capacity of the transformer of the selected industry special transformeruser in the power utilization acquisition system, and calculating the per unit value of the user power utilization data by taking the capacity as the reference; and step 4, establishing a calculationmodel based on an outlier algorithm, importing the user data, calculating the outlier degree of the power utilization data of the user in a set threshold range, and judging whether the user has an electricity theft behavior.

Description

technical field [0001] The invention belongs to the field of power user data analysis, and relates to a power stealing user analysis method based on a power consumption collection system and an outlier algorithm. Background technique [0002] With the rapid development of electric power construction, electric energy metering technology also presents the characteristics of intelligence and intensification. At the same time, the phenomenon of stealing electricity is becoming more and more serious, and the methods of stealing electricity are becoming more and more professional, making it more difficult for power supply companies to verify and obtain evidence. A large number of potential stealing users' various stealing methods not only bring inestimable economic losses to power supply companies, but also bury a huge hidden danger to the normal operation of the power system. The rapid development of electricity stealing technology has brought great troubles to electricity steal...

AI Technical Summary

Problems solved by technology

The existing technology has the disadvantages of poor pertinence and large potential errors, and does not fully consider the impact of miscalculation and omission of power consumption data on algorithm analysis and the influence of different power consumption characteristics and load characteristics of different power consumption industries on the accuracy of analysis. interference

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