CVT verification method based on rolling time window-FCM clustering, equipment and medium

A calibration method and time window technology, which can be applied to instruments, measuring devices, calculations, etc., can solve the problems of difficulty in meeting the actual needs of the power system, low efficiency, and low efficiency of large-scale transformers.

Active Publication Date: 2021-09-10
国网重庆市电力公司营销服务中心 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional CVT verification method needs to be carried out in the event of a power outage, that is, the standard transformer is used to compare the error with the evaluated transformer. Due to the extensive coverage of power transmission and transformation lines, all CVTs are "power outage-detection-recovery" one by one. The detection method has the disadvantages of cumbersome process, heavy workload and low efficiency, and it is difficult to meet the actual needs of power system monitoring.
[0004] For this problem, some prior art implements CVT on-line monitoring to avoid powe

Method used

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  • CVT verification method based on rolling time window-FCM clustering, equipment and medium
  • CVT verification method based on rolling time window-FCM clustering, equipment and medium
  • CVT verification method based on rolling time window-FCM clustering, equipment and medium

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Experimental program
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Embodiment 1

[0042] Embodiment 1 of the present invention provides a kind of CVT verification method based on rolling window-FCM clustering, such as figure 1 As shown, the method includes the following steps:

[0043] First, use the rolling time window to obtain the measurement data of the secondary side of the CVT, and sample the CVT in normal operation and the CVT to be verified to obtain the secondary voltage data;

[0044] Obtain the CVT / secondary voltage data d of normal operation according to the preset sampling frequency, the secondary voltage data is three-phase voltage data, denoted as d=(v A ,v B ,v C ,t), where t represents the time for voltage sampling, v A , v B and v C are the three-phase voltage data obtained by this sampling;

[0045] Set the length Lw of the scrolling time window and the step size L of the scrolling time window B and the pointer position Z, the pointer position Z is the timestamp node corresponding to the sampled data, combined with figure 2 As sh...

Embodiment 2

[0076] Embodiment 2 of the present invention provides a kind of computer equipment, such as image 3 As shown, the equipment includes:

[0077] The data acquisition module is used to collect the secondary voltage data described in the CVT verification method in the above-mentioned embodiment 1 according to the set sampling frequency;

[0078] memory for storing programs;

[0079] A processor, configured to run the program stored in the memory to execute the data analysis and processing flow in the CVT verification method in Embodiment 1 above;

[0080] In this embodiment, the device is also provided with a display screen and an alarm indication module, with the processor as the core, respectively connected to the data acquisition module, memory, display screen and alarm indication module, after the system equipment is started and initialized, through The data acquisition module acquires the secondary side measurement data of the CVT in normal operation and the CVT to be veri...

Embodiment 3

[0082] Embodiment 3 of the present invention provides a computer storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the CVT verification method described in Embodiment 1 above is implemented.

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Abstract

The invention provides a CVT verification method based on rolling time window-FCM clustering, equipment and a medium. The CVT verification method comprises the following steps: S1, acquiring secondary side measurement data of a normally operating CVT and a to-be-verified CVT; s2, analyzing and processing the obtained voltage data through an FCM clustering algorithm, and calculating the clustering center distance of each rolling time window; s3, calculating an average value of clustering center distances of all windows of the normally operating CVT; s4, obtaining a standard ratio through calculation according to the clustering center distance and the average value; and S5, comparing the obtained standard ratio with a set standard ratio threshold value, and outputting an error verification result of the to-be-verified CVT. According to the method, the rolling time window-FCM clustering joint algorithm is utilized, and under the condition of uninterruptible power supply, the error range grade of the CVT is identified by performing clustering analysis on the secondary side metering data of the CVT, the position of a sensor needing power failure inspection is locked, and the workload of power failure detection is reduced.

Description

technical field [0001] The invention relates to the technical field of power system equipment calibration, in particular to a rolling time window-FCM clustering-based CVT calibration method, equipment and medium. Background technique [0002] CVT, that is, capacitive voltage transformer is divided by series capacitors, and then stepped down and isolated by electromagnetic transformer. It is used as a voltage transformer for meters and relay protection. Capacitive voltage transformer can also convert carrier Frequency coupling to transmission lines for long-distance communication, remote measurement, selective line high-frequency protection, remote control, teletype, etc. Compared with the conventional electromagnetic voltage transformer, CVT can prevent the ferromagnetic resonance caused by the saturation of the iron core of the voltage transformer and has great advantages in economy and safety. [0003] The traditional CVT verification method needs to be carried out in the...

Claims

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Application Information

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IPC IPC(8): G01R35/02G06K9/62
CPCG01R35/02G06F18/23Y02E60/00
Inventor 周峰冯凌舒永生郑可李俊杰肖冀张家铭何珉杜杰周华勇王雪松谭时顺
Owner 国网重庆市电力公司营销服务中心
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