Controlled Fault Current Interruption Scheme for Improved Fault Prediction Accuracy
To enhance the accuracy and efficiency of controlled fault current interruption (CFI) in short-circuit current processing within power systems, a half-cycle elimination prediction algorithm and a double-sampling CFI sequence method are proposed in this study. By analyzing the non-periodic and period...
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MDPI AG
2025-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/6/3106 |
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| author | Xu Yang Qi Long Hao Li Dachao Huang Shupeng Xue Jiajie Huang Hongzhang Liang Xiongying Duan |
| author_facet | Xu Yang Qi Long Hao Li Dachao Huang Shupeng Xue Jiajie Huang Hongzhang Liang Xiongying Duan |
| author_sort | Xu Yang |
| collection | DOAJ |
| description | To enhance the accuracy and efficiency of controlled fault current interruption (CFI) in short-circuit current processing within power systems, a half-cycle elimination prediction algorithm and a double-sampling CFI sequence method are proposed in this study. By analyzing the non-periodic and periodic components of short-circuit currents, the half-cycle elimination method and fast Fourier transform are utilized to compute these two components, respectively. The double-sampling CFI sequence approach is designed to fully utilize the response and waiting times of relay protection. Following the first sampling to estimate the target zero-crossing point, the remaining response and waiting times are allocated for a second sampling and recalculation to enhance the precision of zero-crossing prediction. MATLAB R2023a is employed to conduct multi-scenario simulations, and the algorithm’s performance is evaluated using actual recorded waveform data. The results demonstrate that the proposed algorithm accurately predicts the target zero-crossing point after a short circuit, with a computational error of less than 0.2 ms. Furthermore, the double-sampling sequence method is shown to improve the accuracy of open-circuit zero-crossing point calculations by an order of magnitude. This work provides a novel technical approach for the fast and precise handling of short-circuit faults in power systems. |
| format | Article |
| id | doaj-art-ff3a4e5ba5cf4b8b8df7df51cd8b845f |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-ff3a4e5ba5cf4b8b8df7df51cd8b845f2025-08-20T02:11:18ZengMDPI AGApplied Sciences2076-34172025-03-01156310610.3390/app15063106Controlled Fault Current Interruption Scheme for Improved Fault Prediction AccuracyXu Yang0Qi Long1Hao Li2Dachao Huang3Shupeng Xue4Jiajie Huang5Hongzhang Liang6Xiongying Duan7Electric Power Research Institute of EHV Power Transmission Company China Southern Power Grid, Guangzhou 510663, ChinaEHV Power Transmission Company China Southern Power Grid, Guangzhou 510663, ChinaKunming Bureau of UHV Transmission Company of China Southern Power Grid Co., Ltd., Kunming 510663, ChinaElectric Power Research Institute of EHV Power Transmission Company China Southern Power Grid, Guangzhou 510663, ChinaElectric Power Research Institute of EHV Power Transmission Company China Southern Power Grid, Guangzhou 510663, ChinaElectric Power Research Institute of EHV Power Transmission Company China Southern Power Grid, Guangzhou 510663, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaTo enhance the accuracy and efficiency of controlled fault current interruption (CFI) in short-circuit current processing within power systems, a half-cycle elimination prediction algorithm and a double-sampling CFI sequence method are proposed in this study. By analyzing the non-periodic and periodic components of short-circuit currents, the half-cycle elimination method and fast Fourier transform are utilized to compute these two components, respectively. The double-sampling CFI sequence approach is designed to fully utilize the response and waiting times of relay protection. Following the first sampling to estimate the target zero-crossing point, the remaining response and waiting times are allocated for a second sampling and recalculation to enhance the precision of zero-crossing prediction. MATLAB R2023a is employed to conduct multi-scenario simulations, and the algorithm’s performance is evaluated using actual recorded waveform data. The results demonstrate that the proposed algorithm accurately predicts the target zero-crossing point after a short circuit, with a computational error of less than 0.2 ms. Furthermore, the double-sampling sequence method is shown to improve the accuracy of open-circuit zero-crossing point calculations by an order of magnitude. This work provides a novel technical approach for the fast and precise handling of short-circuit faults in power systems.https://www.mdpi.com/2076-3417/15/6/3106short-circuit current predictionphase-controlled switching techniquehalf-period elimination methodrecursive least squares methoddouble-sampling time |
| spellingShingle | Xu Yang Qi Long Hao Li Dachao Huang Shupeng Xue Jiajie Huang Hongzhang Liang Xiongying Duan Controlled Fault Current Interruption Scheme for Improved Fault Prediction Accuracy Applied Sciences short-circuit current prediction phase-controlled switching technique half-period elimination method recursive least squares method double-sampling time |
| title | Controlled Fault Current Interruption Scheme for Improved Fault Prediction Accuracy |
| title_full | Controlled Fault Current Interruption Scheme for Improved Fault Prediction Accuracy |
| title_fullStr | Controlled Fault Current Interruption Scheme for Improved Fault Prediction Accuracy |
| title_full_unstemmed | Controlled Fault Current Interruption Scheme for Improved Fault Prediction Accuracy |
| title_short | Controlled Fault Current Interruption Scheme for Improved Fault Prediction Accuracy |
| title_sort | controlled fault current interruption scheme for improved fault prediction accuracy |
| topic | short-circuit current prediction phase-controlled switching technique half-period elimination method recursive least squares method double-sampling time |
| url | https://www.mdpi.com/2076-3417/15/6/3106 |
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