Local outlier factor-based low-voltage electricity-stealing user positioning method

Abstract

The invention relates to the electricity-stealing-prevention technical field of low-voltage transformer areas and provides a local outlier factor-based low-voltage electricity-stealing user positioning method. According to the method, firstly, k transformer areas most similar to a monitored transformer area are searched based on feature attributes which affect the line loss of transformer areas, namely k nearest transformer areas are searched. Secondly, whether the line loss rate of the monitored transformer area is abnormal or not is analyzed and judged according to the line loss rates of k nearest transformer areas. If the line loss rate of the monitored transformer area within a certain period of time is abnormal, a discrete Frechet distance among the load curves of all users within theabove period of time in the monitored transformer area is calculated. Finally, based on the discrete Frechet distance among the load curves of users, the local outlier factor of the load curve of each user in the monitored transformer area is calculated. The larger the local outlier factor, the larger the electricity-stealing probability of the user. Based on the method, the rank ordering resultof the electricity-stealing probabilities of all users in the monitored transformer area with the abnormal line loss rate is outputted. Therefore, most of electricity-stealing users can be detected and found out only through detecting users ranked in the top of the rank ordering result. As a result, the electricity-stealing prevention working efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of anti-stealing power in low-voltage station areas, in particular to a method for locating low-voltage power-stealing users based on local outlier factors. technical background [0002] With the development of social economy and the improvement of residents' living standards, users' demand for electricity continues to increase, and the cost of electricity consumption is getting higher and higher. The phenomenon of electricity theft occurs from time to time, and repeated investigations are endless. Stealing electricity not only destroys the economic order and fairness of the electricity market, but also affects the safe and stable operation of the power grid. In recent years, with the comprehensive promotion and application of smart meters and electricity consumption information collection systems, a large amount of user electricity consumption data has been accumulated. How to use these data to detect elect...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above technical problems, the present invention proposes a low-voltage stealing user location method based on local outlier factors, which can effectively improve the efficiency of anti-stealing work, thereby effectively solving the low efficiency and cost of anti-stealing work in low-voltage station areas. advanced technical issues

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