Distribution Network Traveling Wave Fault Location Method Based on Time Analysis Matrix and Cluster Analysis

A technology of time analysis and cluster analysis, applied in the directions of fault location, fault detection by conductor type, data processing application, etc., can solve the problems of line length error, wave speed influence, abnormal terminal data and so on

Active Publication Date: 2020-07-07
国网新疆电力有限公司巴州供电公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] The present invention provides a distribution network traveling wave fault location method based on time analysis matrix and cluster analysis, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the problem of terminal data in the existing distribution network fault traveling wave location method. Abnormalities, line length errors, and wave speeds affect fault location

Method used

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  • Distribution Network Traveling Wave Fault Location Method Based on Time Analysis Matrix and Cluster Analysis
  • Distribution Network Traveling Wave Fault Location Method Based on Time Analysis Matrix and Cluster Analysis
  • Distribution Network Traveling Wave Fault Location Method Based on Time Analysis Matrix and Cluster Analysis

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Embodiment 1

[0042] Embodiment 1: as attached figure 1 , 2 As shown, the distribution network traveling wave fault location method based on time analysis matrix and cluster analysis includes the following steps:

[0043] The first step: input data, perform data preprocessing, data preprocessing includes: 1) phase-mode transformation, using Karen Bell transformation to transform the three-phase voltage into line-mode components and zero-mode components, extracting line-mode components for analysis; 2) Find the initial moment of the fault, use the wavelet transform to detect the sudden change point of the transient signal, and use it as the initial moment when the transient traveling wave arrives at each measurement node; two steps;

[0044] Step 2: Construct a time analysis matrix, take each backbone node as the starting point of the traveling wave, calculate the initial wave head time of each node along the line segmentally, and use the initial wave head time of the nodes calculated base...

Embodiment 2

[0075] Embodiment 2: as attached figure 1 , 2 As shown in , 3, a simulation model was built using the 10kV Datong Line in Huainan, Anhui Province as a template. The main line length is 19.5km, and the length of each branch line is shown in the figure above. Positioning terminal devices are installed at the end of the line and the ends of the five main branch roads. The sampling rate is 1.25MHz with reference to the actual device. The transmission line model is built with reference to the actual line structure, using a double-circuit structure. The simulation includes two types of faults. The steps are as follows:

[0076] The fault point is about 2.3km away from node 3 on the main line, and the fault location calculation follows the steps below:

[0077] Step 1: Input data, perform data preprocessing, perform phase-mode transformation on the three-phase voltage and convert it into line-mode components and zero-mode components, extract line-mode components for analysis, and ex...

Embodiment 3

[0088] Embodiment 3: as attached figure 1 , 2 As shown in , 3, a simulation model was built using the 10kV Datong Line in Huainan, Anhui Province as a template. The main line length is 19.5km, and the length of each branch line is shown in the figure above. Positioning terminal devices are installed at the end of the line and the ends of the five main branch roads. The sampling rate is 1.25MHz with reference to the actual device. The transmission line model is built with reference to the actual line structure, using a double-circuit structure. The simulation includes two types of faults. The steps are as follows:

[0089] The fault point is about 1.3km away from node 4 on the branch line;

[0090] Step 1: Input data, perform data preprocessing, perform phase-mode transformation on the three-phase voltage and convert it into line-mode components and zero-mode components, extract line-mode components for analysis, and extract transient traveling waves to reach the initial point...

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Abstract

The present invention belongs to the power system automation technical field and relates to a time analysis matrix and clustering analysis-based power distribution network traveling wave fault location method. The method includes the following steps of: the first step, inputting data and performing data preprocessing; the second step, building a time analysis matrix; the third step, performing clustering analysis-based fault section location; the fourth step, checking whether discontinuous nodes and a (k+1)-th column vector satisfy a similarity condition, and identifying abnormal data; the fifth step, deleting abnormal node data; and the sixth step, performing fault point precision location, and outputting a ranging result. According to the time analysis matrix and clustering analysis-based power distribution network traveling wave fault location method of the present invention, an initial wave head time point along a power distribution network line is calculated through utilizing actual terminal node data on the power distribution network line, and a time analysis matrix is constructed; fault section location and abnormal data identification are completed based on the time analysis matrix; and terminal node data most adjacent to a fault point are selected based on the fault section location and abnormal data identification, so that the precise location of the fault point can be completed; and therefore, influence on fault location caused by line length error and wave velocity can be decreased, and the accuracy and reliability of traveling wave location of a power distribution network can be improved.

Description

technical field [0001] The invention relates to the technical field of electric power system automation, and relates to a traveling wave fault location method of distribution network based on time analysis matrix and cluster analysis. Background technique [0002] The medium and low voltage distribution network in my country is 3KV to 66KV, and the neutral point is not grounded or the operation mode is grounded through the arc suppression coil, which is collectively referred to as the small current grounding system. The low-current grounding system has high power supply reliability, but after a ground fault occurs on the distribution line, the weak fault current also makes it difficult to locate the fault. Distribution network fault location can be divided into two categories in terms of function: fault section location and fault point precise location. The location of the fault section is mainly used for the judgment of the fault branch, and the precise location of the fau...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/06G01R31/08
CPCG01R31/086G06Q50/06Y04S10/52
Inventor 杨杰陈旭汪易萱崔立忠刘肖骢郭宁明杜向楠
Owner 国网新疆电力有限公司巴州供电公司
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