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Temporary overvoltage identification method for a power distribution network

An identification method and overvoltage technology, applied in the measurement of current/voltage, measurement of electrical variables, measurement devices, etc., can solve the problems of low discrimination, poor applicability, only applicable, etc., and achieve low feature dimension and strong noise immunity. , the effect of strong applicability

Active Publication Date: 2021-08-27
STATE GRID FUJIAN ELECTRIC POWER CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Commonly used analysis methods include: wavelet transform, S transform, Hilbert-Huang transform (HHT), etc., but the above methods have certain limitations, such as: the wavelet transform frequency band analysis range depends on the sampling frequency, and the frequency band width cannot be adjusted automatically. definition, and the selection of the wavelet base has a great influence on the transformation results; the S-transform has a slow processing speed for signals with high sampling frequency, and the transformation results have great redundancy, so it is only suitable for analyzing the operating overvoltage with a short duration ; Problems such as endpoint effect and mode mixing exist in analysis methods such as HHT transformation, local eigenscale decomposition (LCD) and variational mode decomposition (VMD)
[0005] In the prior art distribution network overvoltage identification method, there are problems such as low discrimination and poor applicability in feature extraction. Therefore, the present invention provides a distribution network temporary overvoltage identification method to solve the above problems

Method used

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  • Temporary overvoltage identification method for a power distribution network
  • Temporary overvoltage identification method for a power distribution network
  • Temporary overvoltage identification method for a power distribution network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Example Figure 1-2 As shown, a distribution network temporary overvoltage identification method includes the following steps:

[0041] S1: Obtain and record the three-phase voltage waveform of the bus three-phase power supply in real time;

[0042] S2: extract the zero-sequence voltage within 4 continuous periodic waves after the overvoltage occurs;

[0043] S3: Input the zero-sequence voltage as the signal to be measured into the atomic decomposition algorithm to iteratively find the atomic parameters of the optimal atom that best matches the signal to be measured γ=(f, ρ, φ, t s ,t e ), the signal to be tested is subtracted from the optimal atom to obtain the residual signal, and the relative matching degree P i , where f is the frequency, ρ is the attenuation coefficient; φ is the phase, t s is the starting time, t e is the end time;

[0044] S4: Divide the optimal atoms into the corresponding frequency bands according to the frequency, and calculate the atomi...

Embodiment 2

[0057] Example Figure 1-2 As shown, a distribution network temporary overvoltage identification method includes the following steps:

[0058] S1: Obtain and record the three-phase voltage waveform of the bus three-phase power supply in real time;

[0059] S2: Extract the zero-sequence voltage within four continuous periodic waves after the overvoltage occurs;

[0060] S3: Input the zero-sequence voltage as the signal to be measured into the atomic decomposition algorithm to iteratively find the atomic parameters of the atom that best matches the signal to be measured γ=(f, ρ, φ, t s ,t e ), where f is the frequency, ρ is the attenuation coefficient; φ is the phase, t s and t e Respectively start and end time;

[0061] S4: Calculate the atomic energy E for each frequency band i , and then the atomic energy E of each frequency band i Splicing to obtain the atomic energy array E of the waveform, the frequency band is the bandwidth of the signal to be measured;

[0062] S...

Embodiment 3

[0090] The simulated waveforms are derived from such as image 3 The ATP-EMTP simulation model shown is built based on the primary main wiring and basic data of a substation. Among them, T1 is the 110 / 10kV main transformer, T2 is the 10 / 0.4kV distribution transformer, and the 10kV side is the neutral point ungrounded system; the numbers starting with "F" are the failure points set by the simulation experiment; the load is determined by (20 +j40) equivalent replacement; there is an electromagnetic voltage transformer on the bus; K1 is a time-controlled switch, and Rf is a transition resistance, which is used to simulate a ground fault; the feeder has a total of all overhead (OL) lines, all cable (CL) lines and There are three types of wire-cable hybrid lines, and the line parameters are the same as those in [8]. The simulation sampling rate is taken as 10kHz.

[0091] use image 3 The simulation model shown generates five types of temporary overvoltage waveforms as a sample ...

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Abstract

The invention relates to a temporary overvoltage identification method for a power distribution network, and belongs to the technical field of power distribution networks. According to the method, after data of a specific time period after overvoltage occurs are extracted, an atomic decomposition algorithm is used for decomposition to obtain effective atoms, the atomic energy of each frequency band of a waveform is calculated and spliced into an atomic energy E as a characteristic quantity, and the atomic energy E is input into an SVM to identify the overvoltage type. According to the invention, the problems of low distinction degree, poor applicability and the like of feature extraction in a power distribution network overvoltage identification method in the prior art are solved.

Description

technical field [0001] The invention relates to a temporary overvoltage identification method of a distribution network, which belongs to the technical field of distribution networks. Background technique [0002] The overvoltage accidents that occur in the distribution network account for about 70-80% of the overvoltage accidents in the entire power system. Among them, the temporary overvoltage is more likely to cause equipment insulation damage due to its long duration, which will cause various short-circuit faults and seriously endanger the distribution network. grid power supply reliability. [0003] In the early stage of temporary overvoltage, there may not be equipment insulation breakdown. If early warning can be given in time to identify the type of overvoltage, it will help to find out the cause of the accident and evaluate the insulation status of the equipment, which will improve the self-healing ability of the distribution network. It is of great significance to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R19/165
CPCG01R19/16528G01R19/16547
Inventor 廖宇飞黄颂谢增林黄虹陈冠三陈雄张浩王键陈靖王睿
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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