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A small current grounding line selection method based on tabu search to optimize rbf network

A technology of RBF network and small current grounding, which is applied in the direction of measuring electricity, measuring electrical variables, and detecting faults according to conductor types, etc. It can solve problems such as difficult to guarantee accuracy, many RBF network structure parameters, and affecting network convergence speed and accuracy. Achieve the effect of fast line selection, improved speed and accuracy of optimization, and good robustness

Active Publication Date: 2021-07-27
GUIZHOU POWER GRID CO LTD
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Problems solved by technology

However, there are many parameters in the RBF network structure, and improper settings will seriously affect the network convergence speed and accuracy. When it is applied to the line selection of small current grounding faults, the accuracy is difficult to guarantee.

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  • A small current grounding line selection method based on tabu search to optimize rbf network
  • A small current grounding line selection method based on tabu search to optimize rbf network
  • A small current grounding line selection method based on tabu search to optimize rbf network

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Embodiment Construction

[0033] In order to further understand the content of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and examples.

[0034] The invention proposes a small current grounding line selection method based on tabu search to optimize the RBF network, such as figure 1 As shown in the figure, the tabu algorithm is used to train the structural parameters of the RBF network to be determined to make it tend to be optimal, and the optimized RBF network is used as the line selection model to realize the comprehensive line selection of the ground fault.

[0035] The network structure parameters are very important for the nonlinear approximation ability of the RBF network. If the network structure is too simple, the network's ability to learn the samples is not enough; otherwise, it will easily lead to overfitting and reduce the generalization ability of the neural network. Especially in the face of the complex and ch...

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Abstract

The invention discloses a small current grounding line selection method based on tabu search and optimization of RBF network, which adopts tabu algorithm, trains the structural parameters of the RBF network to be determined to make it tend to be optimal, and uses the optimized RBF network as the line selection model Realize comprehensive line selection for small current grounding faults; realize automatic and fast determination of fault lines, and ensure stable operation of the power grid and equipment safety.

Description

technical field [0001] The invention belongs to the field of relay protection, and in particular relates to a small-current grounding line selection method based on tabu search to optimize an RBF network. Background technique [0002] Since most of the 35KV and 10KV power grids use small current grounding methods (including neutral point ungrounded and neutral point grounded through arc suppression coils), the power supply system located in the southern thunderstorm humid environment has a high probability of single-phase grounding faults. After the occurrence of single-phase grounding, the safety regulations stipulate that short-term operation with faults can be performed, but there is also a hidden danger that arc grounding develops into two-phase short-circuits. Therefore, there is an urgent need for a method to automatically and quickly determine the faulty line, shorten the fault time, and ensure the stable operation of the power grid. Equipment security. [0003] With...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08
CPCG01R31/086G01R31/088
Inventor 覃禹铭马静任庭昊陈挺李瑶卢颖张光余田家豪徐润贾洪刚王凯袁飞飞赵月辉
Owner GUIZHOU POWER GRID CO LTD