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A Novel Approach to Fault Detection in Complex Electric Power SystemsZHANG, Y. , WANG, Z.
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wide area measurement system, wide area backup protection, topology analysis, fault detection, Rayleigh disturbance
power(24), systems(15), jijepes(6), fault(6), energy(6), electric(6), wide(5), system(5), research(5), protection(5)
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About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 27 - 32
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03003
Web of Science Accession Number: 000340869800003
SCOPUS ID: 84907377086
The new type of backup protection can utilize different kinds of information in a larger scale. The research of this paper is focused on the centralized decision and distributed implementation of wide area backup protection system in large-scale power grid. Topology analysis of power network is substantially network connectivity judgment. The operation conditions in case of a failure should be truthfully reflected in the actual structure of network topology, which requires the system failure must be detected promptly and accurately, and prepare for the subsequent adjustment of operation scheme. In the research of this paper, for different kinds of complex system failures, we have put forward a novel fault factor analysis scheme which can realize rapid, accurate and effective fault detection. Many simulations have verified that the fault factor analysis can successfully detect the failures in complex electric power system.
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 Fault Correspondence Analysis in Complex Electric Power Systems, WANG, C., ZHANG, Y., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 15, 2015.
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 Fault diagnosis and prediction of complex system based on Hidden Markov model, Li, Chen, Wei, Fajie, Wang, Cheng, Zhou, Shenghan, Guirao, Juan L.G., Gao, Wei, Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, Issue 5, Volume 33, 2017.
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Digital Object Identifier: 10.1109/BDCloud.2014.13 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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