Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave
Power transformers, as critical components in regional power distribution and transmission systems, require early fault detection to ensure system reliability. This paper presents a scalable design capable of rapidly simulating winding faults in experimental transformers. By diagnosing three-phase t...
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| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/24/6259 |
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| _version_ | 1850086365294755840 |
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| author | Chengbo Hu Xueqiong Zhu Yongling Lu Ziquan Liu Zhen Wang Zhengyu Liu Kangyong Yin |
| author_facet | Chengbo Hu Xueqiong Zhu Yongling Lu Ziquan Liu Zhen Wang Zhengyu Liu Kangyong Yin |
| author_sort | Chengbo Hu |
| collection | DOAJ |
| description | Power transformers, as critical components in regional power distribution and transmission systems, require early fault detection to ensure system reliability. This paper presents a scalable design capable of rapidly simulating winding faults in experimental transformers. By diagnosing three-phase transformer winding short-circuit faults using oscillatory shock voltages and numerical statistical methods, the relationship between the transfer function and winding short-circuit faults is investigated. The experimental results show that winding short-circuit faults cause significant changes in the transfer function curve. By analyzing transfer function variations across different phases, the location of a fault can be effectively determined. Furthermore, the correlation coefficient and absolute logarithmic deviation provide a clear indication of the fault severity. The transfer function of the high-voltage phase-to-phase is particularly sensitive to winding short-circuit faults. In non-fault phases, after the application of damped oscillatory waves, the transfer function correlation coefficient becomes negative and the absolute logarithmic deviation increases linearly with fault severity. These findings provide a rapid diagnostic solution for determining both the faulty phase and the severity of damage in three-phase transformer winding short-circuit faults. |
| format | Article |
| id | doaj-art-dd4042dc2c6f495e89e0098cc1dc614f |
| institution | DOAJ |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-dd4042dc2c6f495e89e0098cc1dc614f2025-08-20T02:43:29ZengMDPI AGEnergies1996-10732024-12-011724625910.3390/en17246259Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory WaveChengbo Hu0Xueqiong Zhu1Yongling Lu2Ziquan Liu3Zhen Wang4Zhengyu Liu5Kangyong Yin6State Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, ChinaState Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, ChinaState Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, ChinaState Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, ChinaState Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, ChinaState Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, ChinaState Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, ChinaPower transformers, as critical components in regional power distribution and transmission systems, require early fault detection to ensure system reliability. This paper presents a scalable design capable of rapidly simulating winding faults in experimental transformers. By diagnosing three-phase transformer winding short-circuit faults using oscillatory shock voltages and numerical statistical methods, the relationship between the transfer function and winding short-circuit faults is investigated. The experimental results show that winding short-circuit faults cause significant changes in the transfer function curve. By analyzing transfer function variations across different phases, the location of a fault can be effectively determined. Furthermore, the correlation coefficient and absolute logarithmic deviation provide a clear indication of the fault severity. The transfer function of the high-voltage phase-to-phase is particularly sensitive to winding short-circuit faults. In non-fault phases, after the application of damped oscillatory waves, the transfer function correlation coefficient becomes negative and the absolute logarithmic deviation increases linearly with fault severity. These findings provide a rapid diagnostic solution for determining both the faulty phase and the severity of damage in three-phase transformer winding short-circuit faults.https://www.mdpi.com/1996-1073/17/24/6259three-phase transformerwinding faultsdamped oscillatory wavetransfer functionstatistical methods |
| spellingShingle | Chengbo Hu Xueqiong Zhu Yongling Lu Ziquan Liu Zhen Wang Zhengyu Liu Kangyong Yin Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave Energies three-phase transformer winding faults damped oscillatory wave transfer function statistical methods |
| title | Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave |
| title_full | Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave |
| title_fullStr | Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave |
| title_full_unstemmed | Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave |
| title_short | Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave |
| title_sort | localization and diagnosis of short circuit faults in transformer windings injected by damped oscillatory wave |
| topic | three-phase transformer winding faults damped oscillatory wave transfer function statistical methods |
| url | https://www.mdpi.com/1996-1073/17/24/6259 |
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