Wrong Region and Bottleneck Analysis of the Self-healing System in Smart Grid
American Journal of Electrical Power and Energy Systems
Volume 5, Issue 5, September 2016, Pages: 51-58
Received: Sep. 12, 2016; Accepted: Sep. 23, 2016; Published: Oct. 15, 2016
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Authors
Liu Yong-chun, Department of Mechanical and Electrical Engineering, Xiamen University Tan Kah Kee College, Zhangzhou, China
Lin Yu-zi, Department of Mechanical and Electrical Engineering, Xiamen University Tan Kah Kee College, Zhangzhou, China
Zhang Wen-sheng, Department of Mechanical and Electrical Engineering, Xiamen University Tan Kah Kee College, Zhangzhou, China
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Abstract
The research on the self-healing system in smart grid is a worldwide research topic, and it has very important significance for the safe and stable operation of the power grid. The research topic was proposed by America Electric Power Science Research Institute since the beginning of the century, over the past ten years, the research has still no substantive progress. Therefore, this paper, with a large number of literature data and examples as the basis, by means of contrast, analyzes the existing problems and misunderstandings in the study of the topic, reveals the bottleneck problems encountered in the process of the research, and specifies the research of the self-healing system to quickly restore power as the main objective, will be the recovery control of the self-healing as the focus of the self-healing system research, so as to point out the direction for the further research of the subject, in order to make the majority of researchers in the future research avoid detours, early results.
Keywords
Smart Grid, Self-healing System, Connotation, Denotation, Bottleneck Analysis, Electrical Accident, Self-healing Recovery Control, Expert System
To cite this article
Liu Yong-chun, Lin Yu-zi, Zhang Wen-sheng, Wrong Region and Bottleneck Analysis of the Self-healing System in Smart Grid, American Journal of Electrical Power and Energy Systems. Vol. 5, No. 5, 2016, pp. 51-58. doi: 10.11648/j.epes.20160505.12
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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