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Relay protection equipment status identification method based on BP neural network

A BP neural network and relay protection technology, applied in neural learning methods, biological neural network models, etc., can solve problems such as unsatisfactory protection effects and large differences in the operating status of relay protection equipment, and achieve the effect of reducing the impact.

Active Publication Date: 2017-01-25
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
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AI Technical Summary

Problems solved by technology

Due to the complex electromagnetic environment of the substation, the different operating states of the relay protection equipment are very different. If the same protection measures are used, the protection effect is not ideal, and the relay protection equipment cannot be directly, effectively and quickly protected from electromagnetic interference.

Method used

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  • Relay protection equipment status identification method based on BP neural network
  • Relay protection equipment status identification method based on BP neural network
  • Relay protection equipment status identification method based on BP neural network

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0057] like figure 1 As shown, a method for state identification of relay protection equipment based on BP neural network includes the following steps:

[0058] Step 1, collect several sets of voltage data under different working conditions.

[0059] The working conditions of relay protection equipment include normal state, lightning strike state, switch operation state and short-circuit state. Under each working condition, 10 sets of voltage data are generally collected, of which 8 sets are used as training samples and 2 sets are used as test samples.

[0060] Step 2, preprocessing the collected voltage data.

[0061] Preprocessing can eliminate gross errors, improve the reliability and auth...

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Abstract

The invention discloses a relay protection equipment status identification method based on a BP neural network. The status of the relay protection equipment can be in details identified by the identification method, and thus the relay protection equipment is guided to take corresponding protection measures for different defaults; by adopting the identification method, a problem that various operating conditions are difficult to be compatible due to single mode of the relay protection equipment is solved, influence of faults on the equipment is reduced to a great extent, and the equipment is prevented from being seriously damaged.

Description

technical field [0001] The invention relates to a state recognition method of relay protection equipment based on BP neural network, which belongs to the field of state recognition of relay protection equipment in substations. Background technique [0002] The smart substation takes the primary and secondary equipment of the substation as the digital object, based on the high-speed network communication platform, and realizes information sharing and interactive operation inside and outside the station by standardizing digital information. In the development of smart substations, the large-scale use of smart devices has also brought some problems. Compared with the traditional substation, the smart substation moves the secondary equipment data acquisition equipment that should have been placed in the relay room to the primary equipment area, and the data acquisition equipment is weak current equipment, which is extremely vulnerable to the electromagnetic environment in the pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08
CPCG06N3/084
Inventor 嵇建飞黄嘉宇乔楠袁宇波王立辉庞福滨陈晰
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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