Power distribution network weak feature fault identification method based on transfer learning

A technology of transfer learning and fault identification, which is applied in neural learning methods, fault location, fault detection by conductor type, etc., can solve problems such as poor environmental interaction and data hunger, and achieve simple training, convenient operation, and flexible operation.

Inactive Publication Date: 2021-01-22
山东翰林科技有限公司
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Problems solved by technology

[0006] The purpose of the present invention is to provide a distribution network weak feature fault identification method based on transfer learning, which solves the problems of data hunger and poor environmental interaction in the existing power grid fault identification method

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  • Power distribution network weak feature fault identification method based on transfer learning
  • Power distribution network weak feature fault identification method based on transfer learning
  • Power distribution network weak feature fault identification method based on transfer learning

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] see figure 1 As shown, the present invention is a distribution network weak feature fault identification method based on transfer learning. The identification method mainly includes the following steps:

[0026] Step 1: Build the distribution network model and fault model; refer to the European distribution network standard, build a 220 / 20kV distribution network simulation model fed by dual power sources, and then adjust it according to the actual situation ...

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Abstract

The invention provides a power distribution network weak feature fault identification method based on transfer learning, and relates to the technical field of power grid detection. The identificationmethod comprises the following steps: firstly, establishing a 20kV neutral point ungrounded AC power distribution network model, setting two data acquisition points at an outgoing line, and constructing a training sample set and a transfer learning sample set; and training a sparse auto-encoder by using the training sample set to realize high accuracy of fault identification, and finally carryingout transfer learning of the network model by using a small number of transfer sample sets so that the accuracy of the algorithm model can reach 98% under a new topological structure. According to theinvention, in power distribution networks of different topology types, high-resistance fault type identification and fault line selection can be realized, and interference signals of capacitor switching and load switching can be distinguished; and the method is simple in principle, high in reliability, small in training sample number and high in generalization ability, and can realize weak feature fault identification in different power distribution network topologies.

Description

technical field [0001] The invention belongs to the technical field of power grid detection, and in particular relates to a method for identifying faults with weak characteristics of a power distribution network based on transfer learning. Background technique [0002] The distribution network has the characteristics of complex topology, flexible and changeable operation mode, and high probability of fault occurrence, among which single-phase ground fault has the highest probability of occurrence. In my country, after a single-phase ground fault occurs in the distribution network, it can continue to operate with the fault for 1-2 hours, but with the expansion of the distribution network scale, the leakage capacitive current of the distribution network to the ground increases significantly. If the system is allowed to operate with a fault for a long time, the excessive fault current is likely to cause the fault to develop further, posing a threat to the safe operation of the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08G01R31/52G06F30/18G06F30/27G06N3/08
CPCG01R31/086G01R31/088G06N3/08G01R31/52G06F30/18G06F30/27G06F2111/02G06F2113/04
Inventor 李兴谢继冉罗国敏张世伟王笛段清天孙汉林郑彦文李永赞
Owner 山东翰林科技有限公司
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