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Intelligent power distribution network fault identification method

A technology for intelligent distribution network and fault identification, which is applied in the direction of fault location, fault detection according to conductor type, and electrical measurement. The effect of setting calculation

Inactive Publication Date: 2016-12-21
HUNAN UNIV
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

With the continuous development of artificial intelligence, neural network algorithms are widely used in smart grid transient protection, fault line selection, etc., but the algorithm is prone to fall into local minimum, and the required samples are large and the convergence speed is very slow

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  • Intelligent power distribution network fault identification method
  • Intelligent power distribution network fault identification method
  • Intelligent power distribution network fault identification method

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Embodiment

[0034] In order to verify a smart distribution network fault identification method that combines local anomaly factor detection and support vector machines proposed by the present invention, the figure 2 The 10kV distribution network with dual DGs in a domestic smart distribution network demonstration area as shown is the research object. The model is built under MATLAB simulation. The specific processing flow is as follows figure 1 As shown, the fault in simulated area 4 is a single-phase ground fault, and the fault in area 5 is a two-phase short-circuit fault of AB.

[0035] Analysis of Single-Phase-to-Earth Fault

[0036] When a phase-to-ground fault occurs in feeder section Z4, such as Figure 4 , 5As shown, nodes 4, 5 and generalized node 17 are far away from other nodes, and the LOF value is around 90, but there are outliers in the multi-dimensional scale dimension reduction result graph, so it can be determined that area 4 is a fault area.

[0037] The results of SV...

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Abstract

The invention provides an intelligent power distribution network fault identification method. A wide area measurement system is used to upload information, and a multidimensional state monitoring matrix is formed by data preprocessing and data fusion, and then the multidimensional analysis of the matrix is carried out, and the LOF values of the matrix are calculated, and according to the LOF values of the various nodes of the matrix, the fault detection and the fault positioning of the intelligent power distribution network are realized. Wavelet transformation of three-phase voltage of a faulted part is carried out, and the wavelet singular entropy values of the three-phase voltage are used to build a fault characteristic sample database. Pre-classification of faults is carried out by using zero sequence voltage low frequency energy reflecting grounding fault information, and on the basis of the above mentioned pre-classification, an SVW fault type discrimination prediction model is built. The effective fault detection and the effective fault positioning of the intelligent power distribution network are realized, and the reasonable classification of the different fault types of the faulted areas is realized.

Description

technical field [0001] The invention relates to the research on the protection control method of the intelligent distribution network, and is especially suitable for fault location and fault type discrimination of the intelligent distribution network. Background technique [0002] With the continuous increase of the capacity of the smart distribution network and the access of distributed power sources, the network structure and operation mode of the distribution network are becoming increasingly complex, making it difficult for traditional relay protection methods to meet the requirements. When a fault occurs in the distribution network, how to quickly and effectively diagnose the fault location and identify the fault type is of great significance to reduce the fault recovery time and improve the safe and stable operation of the distribution network and the reliability of power supply. [0003] For distribution network fault location, the size of the three-phase current muta...

Claims

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Application Information

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IPC IPC(8): G01R31/08
CPCG01R31/088G01R31/086
Inventor 李勇胡伟曹一家李稳国
Owner HUNAN UNIV
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