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| Fault identification technology based on power internet of things |
| Yu Yin'gang, Hong Xinchun, Li Ling, Kang Ruixin, Wu Xisheng |
| Anhui Onesky Electric Technology Co. Ltd, Hefei 230088 |
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Abstract Based on the existing technology conditions, due to various data sampling equipment for local storage, basic data to isolate cause, distribution network fault break is very difficult to identify, with the continuous application of pan in the internet of things technology, data interaction of hardware and software platform to realize more and more simple, the same system is easy to form big data platform, which is based on the data analysis function of big data platform can realize the recognition of the power distribution network fault break easily, use in the internet of things technology to realize data sharing, can be conducive to the recognition of high impedance grounding, thus improve the security of the system.
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Received: 13 December 2019
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| Cite this article: |
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Yu Yin'gang,Hong Xinchun,Li Ling等. Fault identification technology based on power internet of things[J]. Electrical Engineering, 2020, 21(7): 76-79.
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http://dqjs.cesmedia.cn/EN/Y2020/V21/I7/76
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[1] 刘健, 王玉庆, 芮骏, 等. 智能接地配电系统关键参数设计[J]. 电力系统自动化, 2018(16): 180-186.
[2] 艾建红, 洪新春, 余银钢. MXJD单相接地故障管理系统[J]. 电气技术, 2014, 15(1): 124-125.
[3] 李志刚. 消弧线圈与消弧柜在变电站中的运用比较[J]. 低碳世界, 2015(14): 75-76.
[4] 王维俭, 王祥珩, 王赞基. 大型发电机变压器内部故障分析与继电保护[M]. 北京: 中国电力出版社, 2006. |
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2020, Vol. 21 
