| On-Line Partial Discharge Monitoring and Diagnostic System for Power Transformer |
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| 引用本文： | 林渡 姜磊 李福祺 朱德恒 谈克雄 吴成琦 金显贺 王昌长 郑振中. On-Line Partial Discharge Monitoring and Diagnostic System for Power Transformer[J]. 清华大学学报, 2005, 10(5): 598-604. DOI: 10.1016/S1007-0214(05)70125-5 |
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| 作者姓名： | 林渡 姜磊 李福祺 朱德恒 谈克雄 吴成琦 金显贺 王昌长 郑振中 |
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| 作者单位： | [1]Department of Electrical Engineering, Tsinghua University, Beijing 100084, China [2]Electric Power Corp. （Group）, Shenyang 110013, China [3]University of Southern California, Los Angeles, CA 90089-0271, USA |
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| 基金项目： | Supported by thc National Natural Science Foundation of China, the Northeastern Electric Power Corp. （Group） （No. 59637200）, and the National Foundation of USA,Acknowledgements The authors thank Dr. Gao Wensheng and Mr. Gao Shengyou in the Department of Electrical Engineering of Tsinghua University Beijing, China for their valuable advice and helpful discussions. |
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| 摘 要： | This paper introduces a computerized on-line partial discharge （PD） monitoring and diagnostic system for transformers. The system, which is already in use in a power station, uses wide-band active transducers and a data acquisition unit with modularized and exchangeable components. The system software is a power equipment monitoring and diagnostic system, which is based on the component object model, and was developed for monitoring multiple parameters in multiple power supply systems. The statistical characteristics of PDs in power transformers were studied using 7 experimental models for simulating PDs in transformers and 3 models for simulating interfering discharges in air. The discharge features were analyzed using a 3-D pattern chart with a three-layer back-propagation artificial neural network used to recognize the patterns. The results show that PDs in air and oil can be distinguished. The model can be used for interference rejection on-line monitoring of partial discharge in transformers.
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| 关 键 词： | 在线监视 诊断系统 能量转换 传感器 计算机仿真 |
| 收稿时间： | 2004-02-03 |
| 修稿时间： | 2004-02-032004-05-17 |
On-Line Partial Discharge Monitoring and Diagnostic System for Power Transformer |
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| Du Lin, ,#x; ,#xe;, Lei Jiang, ,#xdc; ,#xca;, Fuqi Li, ,#xe;,#xf;,#xa;, Deheng Zhu, ,#x;,#xfb;,#x;, Kexiong Tan, ,#xc;,#xb;,#xc;, Chengqi Wu, ,#x;,#x;,#x;, Xianhe Jin, ,#xd;,#xe;,#xda;, Changchang Wang, ,#xb;,#xc;,#xf;,T.C. Cheng, ,#xd;,#xf;,#xed;. On-Line Partial Discharge Monitoring and Diagnostic System for Power Transformer[J]. Tsinghua Science and Technology, 2005, 10(5): 598-604. DOI: 10.1016/S1007-0214(05)70125-5 |
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| Authors: | Du Lin, &#x , Lei Jiang, Ü Ê , Fuqi Li,
, Deheng Zhu, &#x û &#x , Kexiong Tan, , Chengqi Wu, &#x &#x &#x , Xianhe Jin,
Ú , Changchang Wang, ,T.C. Cheng,
í |
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| Affiliation: | 1. Department of EIectrical Engineering, Tsinghua University, Beijing 100084, China; 2. Electric Power Corp. (Group |
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| Abstract: | This paper introduces a computerized on-line partial discharge (PD) monitoring and diagnostic system for transformers. The system, which is already in use in a power station, uses wide-band active transducers and a data acquisition unit with modularized and exchangeable components. The system software is a power equipment monitoring and diagnostic system, which is based on the component object model, and was developed for monitoring multiple parameters in multiple power supply systems. The statistical characteristics of PDs in power transformers were studied using 7 experimental models for simulating PDs in transformers and 3 models for simulating interfering discharges in air. The discharge features were analyzed using a 3-D pattern chart with a three-layer back-propagation artificial neural network used to recognize the patterns. The results show that PDs in air and oil can be distinguished. The model can be used for interference rejection on-line monitoring of partial discharge in transformers. |
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| Keywords: | on-line monitoring partial discharge diagnostic transformer |
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