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Low-voltage residential user abnormal electricity consumption identification method and analogue simulation system

A technology for abnormal power consumption and users, applied in neural learning methods, design optimization/simulation, character and pattern recognition, etc., can solve the problem of the difficulty in accurately grasping the characteristics of abnormal power consumption behavior of low-voltage residents, the lack of fast, efficient and accurate simulation tools, Insufficient cases of abnormal power consumption and other problems have achieved the effect of promoting application, improving verification efficiency, and improving functions

Pending Publication Date: 2021-09-24
STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT +1
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Problems solved by technology

[0005] In addition, there are currently insufficient cases of abnormal electricity consumption by low-voltage residential users, and the amount of data is insufficient. It is difficult to accurately grasp the characteristics of abnormal electricity consumption behaviors of low-voltage residents and quickly locate abnormal electricity users. There is a lack of fast, efficient and accurate simulation tools

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  • Low-voltage residential user abnormal electricity consumption identification method and analogue simulation system
  • Low-voltage residential user abnormal electricity consumption identification method and analogue simulation system
  • Low-voltage residential user abnormal electricity consumption identification method and analogue simulation system

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0063] like figure 1 As shown, the low-voltage residential user abnormal power consumption identification simulation simulation system of the present invention includes: a low-voltage power consumption database 1, a classification algorithm library 2, a user electricity consumption behavior identification model library 3; a data simulation module 4, a data management module 5; algorithm verification Task configuration management module 6, algorithm model management module 7, algorithm model scheduling module 8; and human-computer interaction module 9.

[0064] The low-voltage power consumption database 1 stores data of low-voltage residential users. Operating users can use the low-voltage powe...

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Abstract

The invention discloses a Low-voltage residential user abnormal electricity consumption identification method and an analogue simulation system, The method comprises the following steps: step 1, submitting electrical load data of low-voltage residential users to be identified, and extracting multi-modal features from the electrical load data; 2, aiming at the multi-modal features obtained in the step 1, extracting and constructing four-dimensional composite features; 3, training a deep neural network by using the four-dimensional composite features obtained in the step 2; and 4, identifying the four-dimensional composite features by using the trained deep neural network to obtain the abnormal power utilization users of the low-voltage residents. According to the simulation identification method and the simulation simulation system, rapid simulation analysis of abnormal power consumption data, verification of an abnormal power consumption identification algorithm and the like can be realized.

Description

technical field [0001] The invention belongs to the field of identification of abnormal power consumption of users, and more specifically relates to a method for identifying abnormal power consumption of low-voltage residential users and a simulation system. 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 identification is one of the important supports for safe power consumption in the operation and maintenance process of 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 ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06F30/27
CPCG06N3/04G06N3/08G06F30/27G06F18/241
Inventor 周玉邵雪松李悦潘超易永仙崔高颖张筠褚兴旺丁颖庞金鑫
Owner STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT
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