Abnormal power consumption detection method and system

Abstract

The invention discloses an abnormal power consumption detection method. The method comprises the following steps: A, pre-processing the currently collected data and the history data; B, detecting the pre-processed data by adopting a data mining algorithm so as to recognize the suspected abnormal power consumption users; C, taking part of the suspected abnormal power consumption users that exceed a preset threshold parameter as abnormal power consumption users to carry out feedback; D, carrying out association analysis on the abnormal power consumption data in the history data by using an association algorithm so as to extract an abnormal power consumption internal association rule, and expressing the analysis result by using a form or a graph; and E, carrying out statistics on the distribution of the abnormal power consumption users in different industries and types and the data of specific abnormal power consumption users for query. According to the abnormal power consumption method, the power consumption data accumulated by the existing power grid information acquisition system is analyzed so that the abnormal power consumption users are detected; and through detecting the abnormal power consumption users, the detection result is more comprehensive, the detection correctness and the detection efficiency are improved, and the detection time is saved.

Description

technical field [0001] The invention relates to a method and system for detecting abnormal electricity consumption. Background technique [0002] In recent years, with the continuous expansion of the scale of the power network, the structure and operation mode of the power network have become increasingly complex, and people have put forward higher requirements for the power supply quality of the power grid and the reliability of network operation. The existence of abnormal power consumption will affect the management personnel to make wrong decisions, and then affect the normal operation of the power system, causing power companies to suffer huge economic losses. Therefore, abnormal power consumption detection is an important part of the power management system. Existing abnormal electricity consumption detection methods are mainly based on experience and event analysis. For increasingly complex and ever-changing power applications, this method is limited by empirical judgm...

AI Technical Summary

Problems solved by technology

The existence of abnormal power consumption will affect managers to make wrong decisions, which will affect the normal operation of the power system and cause huge economic losses to power companies. Therefore, abnormal power consumption detection is an important part of the power management system

Existing abnormal electricity consumption detection methods are mainly based on experience and event analysis. For increasingly complex and ever-changing power applications, this method is limited by empirical judgment and cannot fully reveal the occurrence of abnormal electricity consumption; With the development of smart distribution network, the power collection system has accumulated a large amount of data on the operation of the power grid. These data contain rich utilization value and can be used to analyze and mine the user's power consumption behavior pattern and the rule of abnormal occurrence. Some power usage anomaly detection methods do not make use of these data

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