RESEARCH PAPER
Reliability Enhancement in Substation Partial Discharge Real-time Monitoring System Based on Web Data Flow-EEMD Singular Value Entropy and Distributed Computing
1
Qinghai Dehong Electric Power Technology Co., Ltd, China
Submission date: 2025-11-28
Final revision date: 2026-01-23
Acceptance date: 2026-03-27
Online publication date: 2026-04-25
KEYWORDS
EEMDReal-time monitoringWeb data flowSingular value entropyDistributed computingSubstation partial discharge
TOPICS
ABSTRACT
In order to enhance the operational reliability of the substation, this work suggests a hybrid approach based on ensemble empirical mode decomposition singular value entropy to address the issues of poor signal feature extraction accuracy and low partial discharge type detection accuracy in the existing substation monitoring system. Moreover, this study uses Hadoop and the hybrid algorithm to create a real-time monitoring system for substation partial discharge. The suggested hybrid algorithm's performance is contrasted with that of alternative algorithms. Experimental outcomes revealed that the algorithm's F1 score was 97.88%, the average MSE value was 1.537, the average RMSE value was 0.462, and the fitting coefficient value was 0.968, all of which were better than the comparison algorithm.In conclusion, the algorithm proposed in this study and the substation partial discharge monitoring system are effective and practical in enhancing the reliability of substation operation and fault diagnosis capabilities.
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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