Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Huang Xiaoyun is active.

Publication


Featured researches published by Huang Xiaoyun.


china international conference on electricity distribution | 2014

An accurate fault location method of smart distribution network

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

IEC61850-based on-line transformer grounding monitoring equipment communication simulation method

Chen Haomin; Li Peng; Dong Xuzhu; Guo Xiaobin; Duan Weiguo; Xu Aidong; Chen Bo; Xi Wei; Li Xiang; Huang Xiaoyun; Li Zhongming


Archive | 2014

Power distribution network islanding method based on harmonic algorithm

Wang Feng; Zeng Yeyun; Chen Chun; Cao Yijia; Huang Chun; Dong Xuzhu; Huang Xiaoyun; Xu Aidong; Yu Li; Peng Feijin; Lei Jinyong


Archive | 2014

IEC61850-based on-line leakage current monitoring equipment communication simulation method

Chen Haomin; Li Peng; Dong Xuzhu; Guo Xiaobin; Duan Weiguo; Xu Aidong; Chen Bo; Xi Wei; Li Xiang; Huang Xiaoyun; Li Zhongming


Archive | 2013

Generation method and system for DTS (Dispatcher Training Simulator) training lesson plan and simulated grid system

Huang Hongyuan; Huang Xiaoyun; Cao Zhihui; Luo Guoming; Che Lei; Zhou Junyu; Peng Feijin


Archive | 2014

Energy storage converter based automatic micro-grid PCC (Point of Common Coupling) power tracking method

Huang Xiaoyun; Xu Aidong; Huang Hongyuan; Shen Zhan; Peng Feijin; Lei Jinyong; Li Xiang; Guo Xiaobin


Archive | 2015

Network type protection method based on closed-loop mode operation of power network

Yuan Qincheng; Li Chunguang; Yuan Qihong; Wang Juanjuan; Dong Liang; Dong Xuzhu; Huang Xiaoyun; Yu Li; Peng Feijin; Huang Hongyuan


Archive | 2015

Generation method and system of training lesson plan of dispatcher training simulation system

Huang Hongyuan; Huang Xiaoyun; Luo Guoming; Cao Zhihui; Zhou Junyu; Che Lei; Chen Jinrong


Archive | 2014

Network type protection method for hybrid networking based on closed-loop model operation

Yuan Qincheng; Yuan Qihong; Li Chunguang; Wang Juanjuan; Dong Liang; Dong Xuzhu; Huang Xiaoyun; Yu Li; Peng Feijin; Huang Hongyuan


Archive | 2014

Closed-loop mode operation based hybrid networking power network system

Huang Xiaoyun; Yuan Qincheng; Li Chunguang; Yuan Qihong; Wang Juanjuan; Dong Liang; Dong Xuzhu; Yu Li; Peng Feijin; Huang Hongyuan

Collaboration


Dive into the Huang Xiaoyun's collaboration.

Top Co-Authors

Avatar

Peng Feijin

China Southern Power Grid Company

View shared research outputs
Top Co-Authors

Avatar

Huang Hongyuan

China Southern Power Grid Company

View shared research outputs
Top Co-Authors

Avatar

Dong Xuzhu

Electric Power Research Institute

View shared research outputs
Top Co-Authors

Avatar

Xu Aidong

Electric Power Research Institute

View shared research outputs
Top Co-Authors

Avatar

Lei Jinyong

Electric Power Research Institute

View shared research outputs
Top Co-Authors

Avatar

Guo Xiaobin

Electric Power Research Institute

View shared research outputs
Top Co-Authors

Avatar

Cao Zhihui

China Southern Power Grid Company

View shared research outputs
Top Co-Authors

Avatar

Li Peng

China Southern Power Grid Company

View shared research outputs
Top Co-Authors

Avatar

Chen Bo

Electric Power Research Institute

View shared research outputs
Top Co-Authors

Avatar

Chen Haomin

Electric Power Research Institute

View shared research outputs
Researchain Logo
Decentralizing Knowledge