A method and system for identifying abnormal power consumption of users

A technology for abnormal power consumption and users, which is applied in the field of electric leakage monitoring, can solve the problems of high investment cost of hardware prevention methods and limitations of software prevention methods, and achieve the effects of reducing investment costs, improving accuracy, and improving management level

CN103778567BActive Publication Date: 2017-07-28SHENZHEN POWER SUPPLY BUREAU
2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2017-07-28

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
Patent Text Reader

Abstract

The embodiment of the invention discloses a method for identifying abnormal electricity utilization users. The method includes the following steps that multiple month line-loss rates of each line-loss line are obtained; whether each line-loss line has two month line-loss rates larger than the preset threshold or not is judged; if yes, the actual line-loss line and the line-loss mouth are determined; any time period in one line-loss month of one actual line-loss line is selected to be tested, sample data relevant to electricity utilization of all the users on the line in the test period are obtained, and the prior probabilities and the posterior probabilities of all the users are obtained; the category probabilities of all the uses are obtained with the Bayes formula according to the obtained prior probabilities and the obtained posterior probabilities of all the users, and the user with the largest numerical value in the obtained category probabilities is determined as the suspicion user. The embodiment of the invention further discloses a system for identifying the abnormal electricity utilization users. According to the method and system for identifying the abnormal electricity utilization users, the problems that in the prior art, when the users who steal and leak electricity are identified, a hardware prevention method is large in investment cost and a software prevention method is confined to individual users are solved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of electricity leakage monitoring, in particular to a method and system for identifying abnormal electricity consumption of users. Background technique

[0002] According to the literature research on electricity leakage monitoring at home and abroad, there are currently two main methods for electricity leakage prevention: First, this method is biased towards hardware research. By improving the sensitivity and real-time performance of anti-electricity leakage monitors, the ability to identify users of electricity leakage is improved. ; Second, this method is biased towards software research. By collecting data such as line loss electricity, line loss rate, user electricity, and power compliance related to electricity leakage, and combining statistical methods and data mining algorithms to build a electricity leakage monitoring model, the monitoring model for electricity leakage can be realized. Screening of ...

Examples

Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] Such as figure 1 As shown, in the embodiment of the present invention, a method for identifying abnormal electricity users is proposed, which is implemented on multiple users using multiple line loss lines. The method includes:

[0043] Step S101, obtaining multiple monthly line loss rates of each line loss line on the multiple line loss lines;

[0044] Taking the high-voltage 10KV feeder as the object, detect multiple line loss lines, for example, 10KV feeder {b 1 , b 2 , b 3 , b 4 , b 5}, get each line loss line (b 1 , b 2 , b 3 , b 4 and b 5 One) monthly power supply value and ...