Small current grounding system multicriteria fault line selection method based on radial basis function network

A technology of small current grounding and fault line selection. It is applied in the directions of fault location, measurement of electricity, and measurement of electrical variables. It can solve the problem of low expected output accuracy, improve the speed and accuracy of optimization, strong generalization ability, and convergence speed. quick effect

Inactive Publication Date: 2019-09-06
GUIZHOU POWER GRID CO LTD
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Problems solved by technology

[0004] Aiming at the deficiencies in the above prior art, the present invention proposes a multi-criteria fault line selection method for small current grounding systems based on radial basis

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  • Small current grounding system multicriteria fault line selection method based on radial basis function network
  • Small current grounding system multicriteria fault line selection method based on radial basis function network
  • Small current grounding system multicriteria fault line selection method based on radial basis function network

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Embodiment Construction

[0038] In order to further understand the content of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and examples.

[0039] The present invention provides a multi-criteria fault line selection method for a small current grounding system based on a radial basis network, such as figure 1 As shown, the present invention combines the improved differential evolution algorithm with the RBF neural network, uses the differential evolution algorithm to optimize the undetermined RBF network structure parameters, constructs a new optimized RBF network line selection model, and applies it to small current grounding fault selection in line.

[0040] RBF has many undetermined network structure parameters. The key parameters are first the center position and width of the radial basis function, because the radial basis function is the hidden unit excitation function, and the network output is obtained by directly lin...

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Abstract

The invention discloses a small current grounding system multicriteria fault line section method based on a radial basis function (RBF) network. For small current grounding system fault line section,zero sequence current signals under different fault conditions are adopted, a fundamental wave characteristic component, a fifth harmonic characteristic component, an active component and a transientstate component are extracted, the components are input into an RBF neural network, and structure parameters of the RBF network are trained by utilizing a differential evolution (DE) algorithm, thus optimal parameters of the RBF neural network are obtained. Test results show that the RBF network trained by virtue of the DE algorithm is high in convergence rate and small in output error, and a built line selection model has high accuracy and is not influenced by various fault conditions.

Description

technical field [0001] The invention belongs to the field of electric power system relay protection, in particular to a multi-criteria fault line selection method for a small current grounding system based on a radial basis network. Background technique [0002] The 10-66kV power supply system widely adopts the low-current grounding method, and 70% of the faults are single-phase grounding, especially in the southern power supply system where there are many thunderstorms and wet weather, the probability is higher. At present, substations with a low level of automation still use the method of manually pulling lines to search for faulty lines. Therefore, automatic and rapid location of faulty lines is particularly important for improving power supply reliability. [0003] The automatic line selection of the small current grounding system mainly includes the steady-state method and the transient method. The steady-state method includes the harmonic component method, the zero-seq...

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Application Information

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IPC IPC(8): G01R31/08G01R31/02
CPCG01R31/088G01R31/50
Inventor 任庭昊胡兵轩覃禹铭陈挺卢颖代启璨田家豪毛杰罗继英郜晓娜毛建维蒲桂林赵月辉
Owner GUIZHOU POWER GRID CO LTD
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