Line power stealing detection method based on wavelet analysis of power data

A technology of power data and wavelet analysis, applied in the direction of electric digital data processing, special data processing applications, measuring electricity, etc., can solve the problems of poor effectiveness, poor applicability, high cost, etc., and achieve the effect of overcoming the low degree of automation

Active Publication Date: 2020-02-04
SHANGHAI UNIV
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  • Description
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Problems solved by technology

[0006] Aiming at the problems of low automation, high cost, poor effectiveness, and poor applicability of the existing electric stealin...

Method used

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  • Line power stealing detection method based on wavelet analysis of power data
  • Line power stealing detection method based on wavelet analysis of power data
  • Line power stealing detection method based on wavelet analysis of power data

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Embodiment Construction

[0042] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0043] The present invention is a method for detecting electricity stealing in a line based on wavelet analysis of electric power data, and the implementation process is as follows: figure 1 , the steps include: calculating the hourly output power of the distribution station area and the hourly power consumption of each user according to the power data; wherein the power data includes the hourly electricity consumption of the total watt-hour meter of the distribution station area and the watt-hour meter of each user Hourly power consumption; according to the calculated hourly power, calculate the hourly line loss rate curve of the line; standardize the line loss rate curve. Perform local wavelet transform with a sliding window on the standardized hourly line loss rate curve, and extract the singular value vector after wavelet transform; calculate the ei...

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Abstract

The invention relates to a line power stealing detection method based on wavelet analysis of power data. The method can judge in real time whether a power stealing behavior exists on a power line through wavelet transform analysis based on power data. The specific steps comprise: calculating hourly output power of a distribution station area and hourly power consumption of each user according to the power data, wherein the power data comprises hourly power consumption of total electricity meters in the distribution station area, and hourly power consumption of each user; calculating and normalizing a hourly line loss rate curve according to the calculated hourly power; performing local wavelet transform with a sliding window on the hourly line loss rate curve, and extracting a singular value vector after the wavelet transform; and calculating an eigenvalue according to the singular value vector, and comparing with a power stealing detection threshold to detect in real time whether there is a power stealing behavior and the power stealing time.

Description

technical field [0001] The invention relates to the field of state monitoring of power distribution lines in smart grids, in particular to a detection method for line stealing electricity based on wavelet analysis of electric power data. Background technique [0002] In the field of electric power, power theft has always plagued power companies. The consequences of power theft have caused huge losses to the country and society, and have also posed a huge threat to the security of the power system. Therefore, it is an important social issue. For power companies, it is necessary to use various means to effectively prevent the occurrence of electricity theft. [0003] At present, there are mainly manual inspection and installation of anti-theft meters. The manual inspection method is based on the staff's own experience, and through the inspection of the site and the data of the electric meter, it is judged whether there is electricity theft. Due to the large scale of today's ...

Claims

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Application Information

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IPC IPC(8): G01R31/00G06F17/14G06K9/62
CPCG01R31/00G06F17/148G06F18/21347G06F18/2433
Inventor 刘廷章奚晓晔林越
Owner SHANGHAI UNIV
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