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Research on real-time data processing and evaluation of new power system wide-area digital metering equipment based on deep learning algorithm

Dongsheng Xue

Dongsheng Xue

State Grid Yangquan Electric Power Supply CompanyYangquan, China
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Xue, Dongsheng
, 
Jiaxing Zhao

Jiaxing Zhao

State Grid Yangquan Electric Power Supply CompanyYangquan, China
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Zhao, Jiaxing
, 
Zhengying Yang

Zhengying Yang

State Grid Yangquan Electric Power Supply CompanyYangquan, China
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Yang, Zhengying
, 
Wenwen Wang

Wenwen Wang

State Grid Yangquan Electric Power Supply CompanyYangquan, China
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Wang, Wenwen
, 
Na Wang

Na Wang

State Grid Yangquan Electric Power Supply CompanyYangquan, China
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Wang, Na
 and 
Yingcai Gao

Yingcai Gao

State Grid Yangquan Electric Power Supply CompanyYangquan, China
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Gao, Yingcai
  
Mar 24, 2025
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Published Online: Mar 24, 2025
Received: Nov 05, 2024
Accepted: Feb 24, 2025
DOI: https://doi.org/10.2478/amns-2025-0798
Keywords
© 2025 Dongsheng Xue et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Realtime data management system typical technology implementation scheme
Realtime data management system typical technology implementation scheme

Figure 2.

Extension structure of real-time data management system
Extension structure of real-time data management system

Figure 3.

Functional structure diagram of the system
Functional structure diagram of the system

Figure 4.

Real-time data transmission structure of power system
Real-time data transmission structure of power system

Figure 5.

End-to-end delay analysis
End-to-end delay analysis

Figure 6.

An LSP is faulty. Procedure
An LSP is faulty. Procedure

Figure 7.

Emergency control and protection of data received by the server
Emergency control and protection of data received by the server

Figure 8.

Two LSPS are faulty.
Two LSPS are faulty.

Figure 9.

Testing results of stability degree at different response time
Testing results of stability degree at different response time

Figure 10.

Testing results of instability degree at different response time
Testing results of instability degree at different response time

Configure WRED parameters for integrated transmission of power information

Information type Queue threshold Minimum threshold Queue threshold Indicates the maximum threshold Maximum discard probability
Emergency control and protection 88.65% 100.00% 0.173
Wide area surveillance 76.29% 100.00% 0.298
SCADA 76.29% 100.00% 0.611
Fault information 59.23% 90.00% 0.897
Management information 54.37% 90.00% 0.992
Multimedia information 49.67% 90.00% 0.997

The root-mean-square error of the test set varies with response time

Response time (s) Stability evaluation model MSE Instability degree evaluation model MSE
0.0138 0.0056 0.0176
0.1 0.0045 0.0146
0.2 0.0038 0.0076
0.3 0.0026 0.0039
0.4 0.0019 0.0037
0.5 0.0018 0.0036
0.6 0.0016 0.0018
0.7 0.0014 0.0016
0.8 0.0012 0.0014
0.9 0.0011 0.0011
1.0 0.0011 0.0011
Language:
English
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Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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