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Research on Transparent Grid Dynamic Surveillance and Fault Early Warning System for High-Density Distributed Power Supply Access Areas Incorporating Artificial Intelligence Technology

Zhongqiang Zhou

Zhongqiang Zhou

Power dispatching control center of Guizhou Power Grid Co., Ltd.Guiyang, China
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Zhou, Zhongqiang
, 
Tian Xia

Tian Xia

Power dispatching control center of Guizhou Power Grid Co., Ltd.Guiyang, China
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Xia, Tian
, 
Jianwei Ma

Jianwei Ma

Power dispatching control center of Guizhou Power Grid Co., Ltd.Guiyang, China
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Ma, Jianwei
, 
Ling Liang

Ling Liang

Power dispatching control center of Guizhou Power Grid Co., Ltd.Guiyang, China
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Liang, Ling
 und 
Huijiang Wan

Huijiang Wan

Power dispatching control center of Guizhou Power Grid Co., Ltd.Guiyang, China
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Wan, Huijiang
  
26. März 2025
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Online veröffentlicht: 26. März 2025
Eingereicht: 02. Nov. 2024
Akzeptiert: 23. Feb. 2025
DOI: https://doi.org/10.2478/amns-2025-0810
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© 2025 Zhongqiang Zhou et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

The overall structure of the system
The overall structure of the system

Figure 2.

The function flow chart of the system
The function flow chart of the system

Figure 3.

System hierarchy diagram
System hierarchy diagram

Figure 4.

System function module structure
System function module structure

Figure 5.

The comparison between the system’s forecast output and the original data
The comparison between the system’s forecast output and the original data

Figure 6.

Percentage of system prediction error
Percentage of system prediction error

Figure 7.

Current voltage waveform captured during grid failure
Current voltage waveform captured during grid failure

Figure 8.

Current voltage waveform of current shock failure of the grid system
Current voltage waveform of current shock failure of the grid system

Figure 9.

The waveform diagram of the branch of the network
The waveform diagram of the branch of the network

Statistical error warning accuracy statistics

Fault type 1 2 3 4 5
Actual number of failures 33 17 40 29 24
The number of failures of the system 32 17 39 29 24
Location is not sure 1 0 1 0 0
Failure acquisition success rate 100% 100% 100% 100% 100%
Positioning accuracy 96.97% 100% 97.44% 100% 100%
Sprache:
Englisch
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Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere
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