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china international conference on electricity distribution | 2014
Tan Zhihai; Ge Liang; Kang Taileng; Zhao Fengqing; Zhao Yu; Huang Xiaoyun; Peng Feijin; Li Xiang
In order to deal with the global energy crisis and environmental problems, development direction of electric power industry in the new century has become a hot issue of global concern. The smart power grid concept has come into being as the times requires. Smart distribution power grid is an important part of the smart power grid, its core objective is to realize the self-healing distribution power grid. Smart distribution power grid self-healing control technology is one of the smart distribution power grid related problems, which are urgent and need to be focused on. The after fault self-healing control technique is an important content of research on control technology of the smart distribution grid self-healing. By intelligent means, after fault self-healing control technology can realize fault diagnosis, fault location, fault isolation and blackout areas fast restoration of power supply, with no or only a small amount of manual intervention, to achieve fast response, fast processing of distribution power grid fault and fast recovery. Based on the optimization of the network reconfiguration, as much as possible fault without losing load, or as little as possible loss of load, in order to achieve fast processing fault, reduce the fault processing time, reduce load power cut area, increase the reliability of the distribution power supply. One method of distribution power grid fault diagnosis and location uses fault detection signal uploaded by FTU installed on feeder column switch and DTU installed in power distribution room, and combines with distribution power grid state when fault occurred. Another method uses fault detection signal uploaded by fault indicator installed on switch and combines with distribution power grid state when fault occurred. An accurate fault location method is proposed in this paper, which uses the fault signal sent by FTU, DTU and fault indicator installed on switch, and combines with distribution power grid state when fault occurred. The method in this paper, defines a unified network topology model of the FTU, DTU or fault indicator installed on the switch and the fault indicator installed in feeder segment. Based uploaded fault signals and topology information when distribution power grid fault, it can do fault diagnosis and precise fault location, and can get accurate fault position between the tower which the fault indicator is installed on. An accurate fault location method proposed in this paper is suitable for overhead lines, cable lines and overhead cable mixed lines and other wirings, suitable for FTU, DTU and fault indicator mixed installation situation, adapts to the actual situation of Chinese distribution power grid, has the characteristics of strong adaptability and easy to use.
Archive | 2014
Chen Haomin; Li Peng; Dong Xuzhu; Guo Xiaobin; Duan Weiguo; Xu Aidong; Chen Bo; Xi Wei; Li Xiang; Huang Xiaoyun; Li Zhongming
Archive | 2014
Wang Feng; Zeng Yeyun; Chen Chun; Cao Yijia; Huang Chun; Dong Xuzhu; Huang Xiaoyun; Xu Aidong; Yu Li; Peng Feijin; Lei Jinyong
Archive | 2014
Chen Haomin; Li Peng; Dong Xuzhu; Guo Xiaobin; Duan Weiguo; Xu Aidong; Chen Bo; Xi Wei; Li Xiang; Huang Xiaoyun; Li Zhongming
Archive | 2013
Huang Hongyuan; Huang Xiaoyun; Cao Zhihui; Luo Guoming; Che Lei; Zhou Junyu; Peng Feijin
Archive | 2014
Huang Xiaoyun; Xu Aidong; Huang Hongyuan; Shen Zhan; Peng Feijin; Lei Jinyong; Li Xiang; Guo Xiaobin
Archive | 2015
Yuan Qincheng; Li Chunguang; Yuan Qihong; Wang Juanjuan; Dong Liang; Dong Xuzhu; Huang Xiaoyun; Yu Li; Peng Feijin; Huang Hongyuan
Archive | 2015
Huang Hongyuan; Huang Xiaoyun; Luo Guoming; Cao Zhihui; Zhou Junyu; Che Lei; Chen Jinrong
Archive | 2014
Yuan Qincheng; Yuan Qihong; Li Chunguang; Wang Juanjuan; Dong Liang; Dong Xuzhu; Huang Xiaoyun; Yu Li; Peng Feijin; Huang Hongyuan
Archive | 2014
Huang Xiaoyun; Yuan Qincheng; Li Chunguang; Yuan Qihong; Wang Juanjuan; Dong Liang; Dong Xuzhu; Yu Li; Peng Feijin; Huang Hongyuan