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| Database design of big data analysis platform for grounding fault of small current grounding system |
| Mou Zhiyu1, Mu Longhua1, Zhu Jiran1, 2, Zhang Fan1, Zhang Xin1 |
1. Department of Electrical Engineering, Tongji University, Shanghai 201804;
2. State Grid Hu'nan Electric Power Corporation Research Institute, Changsha 410007 |
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Abstract Single-phase ground faults are the most common types of faults in power systems. Fault detection problems have also plagued the relevant power sector. The traditional fault detection methods have low accuracy in processing measured data. In order to solve the ground fault detection problem of small current grounding system based on the actual fault data, this paper proposes the design scheme of the ground fault big data analysis platform according to the specific requirements, and elaborates the construction of the fault database in the analysis platform. The failure database construction concept is verified by the actual recorded data of the substation in a certain area of Hunan. The cleaning data is filtered and cleaned by the developed fault data, which improves the database storage efficiency and lays a foundation for subsequent fault data analysis and online fault diagnosis.
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Received: 24 October 2018
Published: 17 June 2019
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| Cite this article: |
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Mou Zhiyu,Mu Longhua,Zhu Jiran等. Database design of big data analysis platform for grounding fault of small current grounding system[J]. Electrical Engineering, 2019, 20(6): 6-11.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2019/V20/I6/6
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2019, Vol. 20 
