Electricity stealing detection method and device of using integrated entropy method and density clustering method

A technology of density clustering and detection method, which is applied in the field of anti-stealing electricity analysis, can solve the problems that the method of tampering cannot be covered, and it is difficult to guarantee the detection accuracy, so as to achieve the effect of increasing the scope of application and improving the accuracy

Active Publication Date: 2018-10-16
TSINGHUA UNIV
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Problems solved by technology

Therefore, the analysis purely from the curve shape or electric quantity cannot cover all tampe

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  • Electricity stealing detection method and device of using integrated entropy method and density clustering method
  • Electricity stealing detection method and device of using integrated entropy method and density clustering method
  • Electricity stealing detection method and device of using integrated entropy method and density clustering method

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[0047] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0048] The electricity stealing detection method and device of the comprehensive entropy method and the density clustering method proposed according to the embodiments of the present invention are described below with reference to the accompanying drawings. First, the comprehensive entropy method and the density clustering method proposed according to the embodiments of the present invention will be described with reference to the accompanying drawings. Electricity theft detection method.

[0049] figure 1 It is a flow chart of ...

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Abstract

The invention discloses an electricity stealing detection method and device of using an integrated entropy method and a density clustering method, wherein the detection method comprises the followingsteps of: acquiring user intelligent meter data and total energy consumption data in a period of time to be detected in a target area to obtain a user power consumption curve set and non-technical loss data; processing the user power consumption curve set and non-technical loss data according to a maximum information coefficient calculation method, and obtaining a power consumption correlation measurement index; obtaining a shape anomaly index of each curve; according to the measurement index and the shape anomaly index, dividing the power consumption curve of each user into an abnormal curveand a normal curve through the k-Mean value clustering, and obtaining an abnormal index of power quantity and an abnormal index of shape; and then obtaining the power quantity anomaly rank and shape anomaly rank of the users to obtain the comprehensive anomaly rank. The method can improve the accuracy of detection in various power stealing modes, realize the unsupervised detection of the power stealing behavior under large data, and enlarge the application scope.

Description

technical field [0001] The invention relates to the technical field of anti-stealing electricity analysis, in particular to a method and device for detecting electricity theft using a comprehensive entropy method and a density clustering method. Background technique [0002] In recent years, with the popularization of smart meters in the power grid, the attack methods of electricity thieves on meters are no longer limited to traditional physical cutting or destruction, and a new mode of tampering with smart meters by using digital storage technology and network communication technology has emerged. . Under this new type of attack, smart meter data obtained by grid companies may be carefully forged by electricity thieves. On the other hand, smart meters can record user electricity consumption data more than dozens of times a day, providing massive data for power grid companies. In the traditional sense, the detection of electricity theft mainly depends on the power grid com...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/23213G06Q50/06G01R22/066G06F2218/08G01R22/10
Inventor 陈启鑫郑可迪王毅康重庆夏清
Owner TSINGHUA UNIV
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