Virtual terminator model modeling and automatic ligature method based on machine learning

A technology of machine learning and model modeling, applied in the field of smart substations

Active Publication Date: 2017-10-13
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: learn based on the existing SCD files by means of machine learning to form a virtual terminal "knowledge set", so that when configuring a new SCD, it can be automatically connected and calibrated by referring to the "knowledge set" Virtual test terminals reduce manual intervention and efficiently complete SCD configuration

Method used

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  • Virtual terminator model modeling and automatic ligature method based on machine learning
  • Virtual terminator model modeling and automatic ligature method based on machine learning
  • Virtual terminator model modeling and automatic ligature method based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] like figure 1 , the present invention is based on machine learning virtual terminal model modeling and automatic wiring method, comprising steps:

[0070] S1, obtaining at least 3 completed SCD configuration files;

[0071] S2, analyzing the acquired SCD configuration files to obtain the IED information and virtual terminal connection information contained in each SCD file;

[0072] S3, based on the parsing results of the SCD file, establish a knowledge set, refer to figure 2 Shown:

[0073] S31. Retrieve the desc field in the information of each IED to determine the device type of the IED physical device, and classify each IED according to the interval;

[0074] S32, compare the same interval of each SCD file, obtain the typical IED contained in each interval, and form a typical IED model library; the typical IED of one interval includes: existing in at least three different SCD files, belonging to the same interval, Name IEDs with the same attributes as Descripti...

Embodiment 2

[0082] For each IED, the relevant information of the reserved attributes can be read in the corresponding field of the IED description in the SCD file, so as to establish each IED object.

[0083] like figure 2 As shown, in step S31 of the present embodiment, the desc field in the IED information is retrieved respectively by using keywords representing different intervals, so as to classify each IED according to the interval; the keywords representing each different interval include "bus ", "Line", "Circuit Breaker" / "Switch" and "Transformer" / "Main Transformer";

[0084] Use the keywords representing different equipment types to search the desc field in the IED information respectively to determine the equipment type of each IED physical equipment; the keywords representing different equipment types include "measurement and control", "protection" and "merging unit" and "smart terminals".

[0085] Typical IEDs in the present invention also include: existing in at least five ...

Embodiment 3

[0129] The present invention also discloses a device based on the above method, including:

[0130] memory for storing multiple instructions;

[0131] The processor is used to load the above-mentioned multiple instructions and execute them sequentially:

[0132] S1, obtaining at least 3 completed SCD configuration files;

[0133] S2, analyzing the acquired SCD configuration files to obtain the IED information and virtual terminal connection information contained in each SCD file;

[0134] S3, based on the parsing results of the SCD file, a knowledge set is established:

[0135] S31. Retrieve the desc field in the information of each IED to determine the device type of the IED physical device, and classify each IED according to the interval;

[0136] S32, compare the same interval of each SCD file, obtain the typical IED contained in each interval, and form a typical IED model library; the typical IED of one interval includes: existing in at least three different SCD files, ...

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Abstract

The invention discloses a virtual terminator model modeling and automatic ligature method based on machine learning. The virtual terminator model modeling and automatic ligature method based on machine learning comprises the following steps: acquiring at least SCD configuration files which have been finished at first; then analyzing the various acquired SCD configuration files to obtain IED information and virtual terminator ligature information in various SCD files; and establishing a knowledge set which comprises a typical IED model base, a virtual terminator typical ligature matrix and a virtual terminator typical ligature confidence matrix on the basis of an analysis result of the SCD files, then configuring the new SCD files, and carrying out automatic ligature on a virtual terminator on the basis of a current knowledge set. By the virtual terminator model modeling and automatic ligature method based on machine learning, the achievement of the configuration operation which has been finished can be utilized effectively, the modeling workload during actual operation is reduced, meanwhile, and compared with a typical IED judgment method, the virtual terminator model modeling and automatic ligature method based on machine learning can avoid interference caused by the reason that various IED factories have difference on standard understanding.

Description

technical field [0001] The invention relates to the technical field of intelligent substations, in particular to a machine learning-based "six unified" virtual terminal model modeling and automatic connection method. Background technique [0002] The correctness of the secondary circuit directly affects the correctness of the protection action. In the smart substation, the secondary circuit is realized by optical fiber, and the optical fiber connection is described through the substation configuration description file (SCD), so as to realize various types of intelligent electronic equipment ( IED) information exchange. During the SCD file configuration process, the main workload is concentrated on the virtual terminal configuration, that is, the virtual terminal connection. The correctness of the virtual terminal configuration has an important impact on the correctness of the protection action of the smart substation. However, the configuration of virtual terminals has pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N99/00
CPCG06F30/20G06N20/00Y02E60/00
Inventor 黄哲忱高磊卜强生杨毅宋爽宋亮亮温东旭李嘉袁浩张海东
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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