Abnormal power consumption detection method and system and storage medium

A technology of abnormal power consumption and detection method, which is applied in the direction of power consumption device, neural learning method, information technology support system, etc., can solve the problem of unable to meet the operation and maintenance and development needs of smart grid, the data scale of smart meter is extremely large, and the detection model is accurate to improve the impact of abnormal power consumption detection, improve operational efficiency, and reduce interference

Active Publication Date: 2020-11-20
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +2
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1) The data phenomenon of abnormal power consumption behavior has great diversity, and the data scale of the smart meter is extremely large. When manually designing data characteristics, it is impossible to traverse all possible data phenomena
Artificially designed data features are often based on a small amount of data, resulting in the gradual degradation of the accuracy of the detection model over time;
[0005] 2) The data characteristics of abnormal power consumption are multifaceted, including short-term characteristics and long-term characteristics; both local characteristics...

Method used

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  • Abnormal power consumption detection method and system and storage medium
  • Abnormal power consumption detection method and system and storage medium
  • Abnormal power consumption detection method and system and storage medium

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Embodiment 1

[0087] like figure 1 As shown, based on the efficient and accurate detection of abnormal power consumption and the requirements of smart grid operation, maintenance and development, the embodiment of the present invention provides a method for detecting abnormal power consumption, which includes the following steps:

[0088] Step 101, acquiring smart meter data to be detected;

[0089] Step 102, converting smart meter data into multi-time series data;

[0090] Step 103, input the multi-time series data into the trained abnormal power consumption detection model to obtain the predicted power consumption type label;

[0091] Step 104, identifying the electricity consumption type with the highest probability among the predicted electricity consumption type labels as the abnormal electricity consumption detection result of the smart meter data to be detected.

[0092] The modern smart grid collects a large amount of smart meter data, which has the characteristics of large scale,...

Embodiment 2

[0131] like Image 6 As shown, the embodiment of the present invention provides an abnormal power consumption detection system, the abnormal power consumption detection system includes the following modules:

[0132] A data acquisition module, configured to acquire smart meter data to be detected;

[0133] Data conversion module for converting smart meter data into multi-time series data;

[0134] Abnormal power consumption detection model, used to obtain predicted power consumption type labels according to the input multi-time series data;

[0135] The detection output module is used to use the power consumption type with the highest probability in the predicted power consumption type labels as the abnormal power consumption detection result of the smart meter data to be detected.

[0136] Specifically, such as Figure 7 and 8 As shown, the abnormal power consumption detection model of the abnormal power consumption detection system adopts a deep hybrid neural network, wh...

Embodiment 3

[0147] The method for detecting abnormal power consumption provided by the present invention is described below through specific experimental examples:

[0148] Using the smart meter data of 461 three-phase four-wire 10kV users of a provincial electric power company as a case, the training and verification were carried out.

[0149] Adopt the present invention to provide such as figure 1 The abnormal power consumption detection method obtains smart meter data and converts it into the form of multi-time series data; the data collection frequency of each user is 96 collection points per day, and each data collection point includes A-phase voltage and B-phase voltage , C-phase voltage, A-phase current, B-phase current, C-phase current, total active power, total power factor and other eight items of data.

[0150] Adopt the present invention to provide such as figure 2 The data sample construction method is obtained as image 3 As shown in the data sample structure, the data i...

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Abstract

The invention discloses an abnormal power consumption detection method and system and a storage medium, and belongs to the technical field of intelligent power grid abnormal power consumption behaviorrecognition. The abnormal power consumption detection method comprises the following steps: collecting data of a to-be-detected intelligent electric meter; converting the intelligent electric meter data into multi-time sequence data; inputting the multi-time sequence data into a trained abnormal power consumption detection model to obtain a predicted power consumption type label; and taking the power consumption type with the maximum probability in the predicted power consumption type label as an abnormal power consumption detection result of the to-be-detected intelligent electric meter data. According to the invention, big power utilization data can be fully and comprehensively utilized, advanced features of abnormal power utilization behaviors are deeply mined, the generalization performance of abnormal power utilization detection is improved, the misjudgment ratio is reduced, and abnormal power utilization is efficiently and accurately detected.

Description

technical field [0001] The invention relates to a method, system and storage medium for detecting abnormal power consumption, and belongs to the technical field of abnormal power consumption behavior identification of smart grids. Background technique [0002] For a long time, abnormal power consumption such as power theft, meter failure and installation errors have brought huge economic losses to grid operators every year. Moreover, due to the huge error in the collected electricity consumption data, it will also affect the dispatching and management of the power grid, as well as the operation safety. Therefore, abnormal power consumption detection is one of the important supports for safe power consumption in the operation and maintenance process of the smart grid, and it is of great significance. Through the screening of whether the electricity consumption behavior is normal or not, it is possible to make up for the under-metered electricity bill caused by abnormal elect...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G01R31/00G01R19/00G01R21/00G01R11/00
CPCG06N3/08G01R31/00G01R19/00G01R21/002G01R21/00G01R11/00G06N3/047G06N3/048G06N3/045G06F18/2433G06F18/2415G06F18/241Y04S10/50
Inventor 周玉陆婋泉邵雪松蔡奇新季欣荣段梅梅易永仙崔高颖祝宇楠王德玉高雨翔潘超
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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