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Precision evaluation management method and device for electric energy quality monitoring device

A technology of power quality monitoring and power monitoring, which is applied in the field of accuracy evaluation and management of power quality monitoring devices, and can solve problems such as difficult effective monitoring of data accuracy of power quality monitoring devices

Active Publication Date: 2020-11-24
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a precision evaluation management method and device for a power quality monitoring device, which solves the technical problem that the data accuracy of the power quality monitoring device is difficult to monitor effectively

Method used

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  • Precision evaluation management method and device for electric energy quality monitoring device
  • Precision evaluation management method and device for electric energy quality monitoring device
  • Precision evaluation management method and device for electric energy quality monitoring device

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Experimental program
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Effect test

Embodiment 1

[0058] figure 1 It is the architecture diagram of the information processing system in the embodiment of this application, such as figure 1 as shown, figure 1 Including:

[0059] 101. Obtain historical power quality monitoring data;

[0060] It should be noted that the acquired historical power quality monitoring data can be the power quality monitoring data of the first year after the installation of the power quality monitoring device, that is, the data collected by the power quality monitoring device in the first year is the most accurate, and can be used for future monitoring The accuracy of the power quality monitoring data collected by the power quality monitoring device is evaluated.

[0061] 102. Train the neural network model with historical power quality monitoring data to obtain standard power monitoring data.

[0062] It should be noted that in this application, the power quality monitoring data collected by a large number of power quality monitoring devices in...

Embodiment 2

[0081] The present application also provides another embodiment of an accuracy evaluation management method of a power quality monitoring device, such as figure 2 As described, in this embodiment, in addition to implementing the first step, after obtaining the historical power quality monitoring data, it also includes:

[0082] 202. Remove abnormal data in historical power quality monitoring data.

[0083] It should be noted that this application can firstly discard the missing data in the historical power quality monitoring data; secondly, divide the historical power quality monitoring data into multiple time segments; calculate by the difference between the maximum voltage and the minimum voltage in the time segment Interval threshold, divide the time period into multiple sub-intervals according to the interval threshold, and use the multiple sub-intervals with the least number of data points in the same time period as the abnormal data distribution interval; find the volta...

Embodiment 3

[0093] The above is the embodiment of the method of the present application, and the present application also includes an embodiment of the accuracy evaluation management device of the power quality monitoring device, such as image 3 as shown, image 3 Including:

[0094] An acquisition unit 301, configured to acquire historical power quality monitoring data;

[0095] A training unit 302, configured to train the neural network model with historical power quality monitoring data to obtain standard power monitoring data;

[0096] The first calculation unit 303 is configured to substitute historical power quality monitoring data and standard power monitoring data into a deviation rate calculation formula to obtain a deviation rate of the neural network model;

[0097] The first precision judging unit 304 is configured to segment the power monitoring data to be measured into time periods, and make a difference between the power monitoring data to be measured in the nth time per...

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Abstract

The invention discloses a precision evaluation management method and device for an electric energy quality monitoring device. The method comprises the steps of obtaining historical electric energy quality monitoring data; training a neural network model to obtain standard electric energy monitoring data; substituting the historical electric energy quality monitoring data and the standard electricenergy monitoring data into a deviation ratio calculation formula to obtain a deviation ratio of the neural network model; segmenting to-be-measured electric energy monitoring data, subtracting the electric energy monitoring data to be measured in the nth time period from the corresponding standard electric energy monitoring data, and if the value obtained by dividing the difference value by the corresponding standard electric energy monitoring data is smaller than the deviation rate, indicating that the to-be-measured electric energy monitoring data in the nth time period meets the precisionrequirement; and counting the ratio of the to-be-measured electric energy monitoring data meeting the precision requirement to all the to-be-measured electric energy monitoring data, and if the ratiois greater than a preset first threshold, determining that the to-be-measured electric energy monitoring data meets the precision requirement. The technical problem that the data precision of the electric energy quality monitoring device is difficult to effectively monitor is solved.

Description

technical field [0001] The present application relates to the technical field of power equipment monitoring, in particular to a method and device for evaluating and managing the accuracy of a power quality monitoring device. Background technique [0002] The power quality monitoring device is one of the power secondary equipment with the highest measurement accuracy in the power system. Controlling its measurement accuracy is the premise to ensure the reliability of power quality data and the accuracy of analysis. [0003] In practical applications, precision monitoring is required before installation of power quality monitoring devices, and the measurement accuracy in the first year is relatively reliable. However, after the device is running online, due to the lack of relevant online calibration technology, the measurement accuracy control of the power quality monitoring device has not been carried out, that is, there has been no precision inspection for the power quality ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06N3/04G06N3/08G06Q10/06G06Q50/06G01R31/00
CPCG06F16/2462G06N3/08G06Q10/06395G06Q50/06G01R31/00G06N3/045Y02P90/82
Inventor 王玲
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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