Correlation and prediction of electromagnetic disturbance characteristics in high voltage switchgear interruptions
Interruption of high voltage switchgear circuit breaker will generate massive electromagnetic disturbance, which will cause serious interference to its intelligent components. Aiming at the problem of strong electromagnetic interference impact on high voltage switchgear digitization and intelligence...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004028 |
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| Summary: | Interruption of high voltage switchgear circuit breaker will generate massive electromagnetic disturbance, which will cause serious interference to its intelligent components. Aiming at the problem of strong electromagnetic interference impact on high voltage switchgear digitization and intelligence, this paper presents a new method to study electromagnetic disturbance by using the characteristic values of the electromagnetic disturbance. First, two kinds of interruption tests of KYN61-40.5 high voltage switchgear were carried out under different current magnitudes and circuit parameters. Second, Morse wavelet analysis was used to extract the characteristic values of the disturbance of typical ports and adopted maximal information coefficient (MIC) and nonlinear maximal information entropy (NMIE) to analyze the correlation between the characteristic values and the test parameters. The results show that the characteristic values have the strongest correlation with current amplitude in the small current interruption test, whereas they need to be fitted with multiple test parameters in the large current interruption test. Finally, an artificial neural network was used to fit the characteristic values under two test conditions, and the highest correlation coefficient reached 0.99768, which validated the correlation analysis results. This research can provide a reference for electromagnetic compatibility design and protection of intelligent high voltage switchgear. |
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| ISSN: | 0142-0615 |