Electricity stealing identification method and system based on line loss multi-dimensional correlation analysis

Abstract

The invention provides an electricity stealing identification method and system based on line loss multi-dimensional correlation analysis, and the method comprises the steps: taking a line loss abnormal line as an analysis object, calculating the correlation between the daily electricity consumption of a high-voltage special transformer user under the line and the fluctuation of the line loss electric quantity according to a fixed time dimension in a line loss abnormal period through employing a Pearson's correlation coefficient, and carrying out the calculation of the line loss electric quantity fluctuation. And abnormal users in the time period are screened out according to the correlation coefficient, the electric quantity stealing proportion fluctuation and the electric quantity synchronous fluctuation frequency. According to the invention, the intelligent early warning model with high accuracy and wide range of electricity stealing clue identification is provided by using the relationship between different electricity stealing types and line loss from the correlation analysis of the electricity consumption of the user and the loss electric quantity fluctuation of the line, and the anti-electricity stealing clue identification level is improved. Compared with a conventional electricity stealing identification method, the method has the advantages that the identification range is wide, continuous and intermittent electricity stealing can be identified, and a breakthrough is particularly provided for identifying a hidden electricity stealing mode (conventional voltage and current are not obviously abnormal).

Description

technical field [0001] The invention relates to the field of intelligent control of power systems, and more particularly, to a method and system for identifying electricity theft based on multi-dimensional correlation analysis of line losses. Background technique [0002] At present, there are many ways for users to steal electricity. According to the classification of the electrical quantity that affects the power of the electric energy metering device, it can be divided into voltage method, current method, phase method, and differential expansion method; according to the classification of changing the measurement circuit components, it can be divided into internal electricity stealing and external electricity stealing of the electric energy meter. By monitoring abnormal power consumption characteristics, such as voltage loss, undervoltage, current loss, current unbalance, phase change and other abnormal characteristics, such obvious electricity stealing users can be determ...

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Problems solved by technology

From the existing literature, there is no research on the correlation and influencing factors between different types of power theft and line loss fluctuations

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