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Electric energy metering device abnormality detecting method based on long and short term memory model

An electric energy metering device, a technology of long-term and short-term memory, applied in the direction of measuring devices, measuring electrical variables, instruments, etc., can solve the problems of omissions in manual analysis, time-consuming, and analysis tools are difficult to meet requirements, etc., to improve self-learning ability. and fault tolerance, reasonable design, improved accuracy and timeliness

Inactive Publication Date: 2018-11-06
STATE GRID FUJIAN ELECTRIC POWER RES INST +1
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Problems solved by technology

After the establishment of the power consumption information collection system for power users, the operation status of the user's electric energy metering device can be analyzed by remotely collecting power consumption information, but it takes a long time to collect huge data only by manual analysis and screening of abnormal information , and manual analysis often has omissions, and some analysis tools are difficult to meet the requirements

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  • Electric energy metering device abnormality detecting method based on long and short term memory model
  • Electric energy metering device abnormality detecting method based on long and short term memory model
  • Electric energy metering device abnormality detecting method based on long and short term memory model

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Embodiment Construction

[0053] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0054] The present invention provides a method for abnormality detection of electric energy metering device based on long short-term memory model, such as figure 1 shown, including the following steps:

[0055] Step S1: Obtain the historical data of the user's electricity consumption information collection system, including: voltage, current, frequency, and power angle. The collected data includes: normal samples and fault samples;

[0056] Step S2: Multi-dimensional configuration and superposition of user electricity consumption data. The voltage data or current data of user meters are screened and classified according to time and geographical location. The sampling frequency is to collect one record every 15 minutes, and a total of 8 records of 2 hours of data are used as a sample.

[0057] In this embodiment, the sample label is repr...

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Abstract

The invention relates to an electric energy metering device abnormality detecting method based on a long and short term memory model. The method comprises the steps of (1) acquiring original collecteddata, (2) carrying out data preprocessing, (3) setting model hyperparameters, (4) training the model with a training sample, (5) testing the model with a test sample, and (6) output an electric energy metering device abnormality detecting result. According to the electric energy metering device abnormality detecting method based on the long and short term memory model, the deep learning theory isapplied to digital electric energy meter abnormality detection, and the change characteristics of each piece of collected data under various faults are automatically learned in case of a large amountof data and easy missing, at the same time, the method has good fault tolerance, and the improvement of the accuracy and timeliness of the abnormality detection of an electric energy metering deviceis helped.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to an abnormality detection method of an electric energy metering device based on a long-short-term memory model. Background technique [0002] Diagnosis and analysis of abnormal operation of traditional electric energy metering devices can only be realized by relying solely on on-site verification. Included in on-site verification, such users only account for a small proportion of the total number of non-residential households, and the electricity metering status of a large number of industrial and commercial users is separated from the monitoring, and it is difficult to find metering failures, human errors, and electricity theft; At the same time, the on-site verification period is generally 3 months to 1 year. Even if a problem is found, it is often difficult to identify and recover the wrong power due to reasons such as too long intervals. At the same time, the on-site v...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R35/04
CPCG01R35/04
Inventor 郑州王春光林廷格黄天富伍翔吴志武张凯
Owner STATE GRID FUJIAN ELECTRIC POWER RES INST
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