Power distribution network fault positioning method and device

A distribution network fault and location method technology, which is applied in the field of power systems, can solve the problems that are not suitable for distribution network fault location, and the load and power parameters are greatly affected, and achieve the effect of shortening the online diagnosis time

Pending Publication Date: 2022-06-03
CHINA AGRI UNIV
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Problems solved by technology

Impedance method has less investment, but it is greatly affected by actual line impedance, load and power su

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  • Power distribution network fault positioning method and device
  • Power distribution network fault positioning method and device
  • Power distribution network fault positioning method and device

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[0030] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0031] Combine below Figure 1-Figure 7 The method and device for locating the fault of the distribution network of the present invention are described. figure 1 is a schematic flowchart of the distribution network fault location method provided by the present invention, such as figure 1 As shown, the present invention provides a distribution network fault location method, including:

[0032] 101. Acquire three-...

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Abstract

The invention provides a power distribution network fault positioning method and device, and the method comprises the steps: obtaining three-phase current sampling data of each node of a line, and carrying out the feature extraction of the sampling data; inputting the extracted feature data into a pre-trained adaptive convolutional neural network model, and outputting a fault line phase between fault nodes; performing double-end fault positioning on the fault line to obtain a fault position of the fault line between the fault nodes; wherein the adaptive convolutional neural network model is obtained by training according to the known fault line phase as a sample label and the characteristic data of the three-phase current sampling data of each node as sample input. According to the method, the online diagnosis time can be shortened through the adaptive convolutional neural network model, and the phase of the fault line does not need to be evaluated through frequency, fault position and transition resistance, so that the influence of factors such as system frequency, fault position and transition resistance is small. The problem of low positioning precision in complex power transmission fault detection by only adopting a fault distance measurement method can be avoided.

Description

technical field [0001] The present invention relates to the technical field of power systems, and in particular, to a method and device for locating faults in a distribution network. Background technique [0002] In the distribution system, the failure of the transmission line seriously affects the safety, stability and reliability of the distribution network operation, and will further cause corresponding economic losses to the power production and operation departments and users. In addition, due to the complex structure, large scale and wide coverage of the distribution network, ground faults occur from time to time, which brings certain challenges to the safe and stable operation of the regional power grid. [0003] The existing methods for fault diagnosis of distribution network mainly include: fault location method. Among them, the fault location principle of the impedance method is that under the assumption that the line parameters remain uniform, since the fault loo...

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Application Information

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IPC IPC(8): G01R31/08
CPCG01R31/088Y04S10/52
Inventor 井天军梁洁锋陈彦君杨建华王江波牛焕娜
Owner CHINA AGRI UNIV
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