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General Information
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(5): 445-448 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.357

Design and Realization of Regional Power Grid Fault Diagnosis and Restoration System

Feng Shuo and Ma Haifeng
Abstract—With the scale of power grid being enlarged, the structure is more complex, the possibility of failure also showed a trend of growth, it made that the fault equipment can be promptly and accurately diagnosed after the fault and require a fast search for optimal recovery path, thus crying for the development of fault diagnosis and recovery system for the safety of power grid. A fault diagnosis and recovery system is designed and realized in this paper which will provide help for scheduling personnel by monitoring module, fault diagnosis, fault recovery and human-computer interaction. After the fault, the system can diagnosis the fault devices and provide the optimal recovery path for the unfaulted area. The proposed system has been put into operation and proved to be valid.

Index Terms—Power grid, monitor, fault diagnosis, fault recovery, human-computer interaction.

The authors are with Power Operation and Maintenance Department of Hegang Power Supply Company (e-mail: weijuanba@163.com).


Cite:Feng Shuo and Ma Haifeng, "Design and Realization of Regional Power Grid Fault Diagnosis and Restoration System," International Journal of Machine Learning and Computing vol.3, no. 5, pp. 445-448, 2013.

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