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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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2016-Jun-14
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  1/2015 - 2

Fault Correspondence Analysis in Complex Electric Power Systems

WANG, C. See more information about WANG, C. on SCOPUS See more information about WANG, C. on IEEExplore See more information about WANG, C. on Web of Science, ZHANG, Y. See more information about ZHANG, Y. on SCOPUS See more information about ZHANG, Y. on SCOPUS See more information about ZHANG, Y. on Web of Science
 
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Download PDF pdficon (596 KB) | Citation | Downloads: 481 | Views: 1,085

Author keywords
synchronized phasor measurement unit, PMU, backup protection, smart grid, fault correspondence analysis, noise

References keywords
power(24), systems(14), wang(11), grid(8), electric(8), area(8), smart(7), protection(7), wide(6), zhang(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 11 - 16
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01002
Web of Science Accession Number: 000352158600002
SCOPUS ID: 84924803936

Abstract
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Wide area measurement system (WAMS) mainly serves for the requirement of time synchronization in complex electric power systems. The analysis and control of power system mostly depends on the measurement of state variables, and WAMS provides the basis for dynamic monitoring of power system by these measurements, which can also satisfy the demands of observable, controllable, real-time analysis and decision, self-adaptive etc. requested by smart grid. In this paper, based on the principles of fault correspondence analysis, by calculating row characteristic which represents nodal electrical information and column characteristic which represents acquisition time information, we will conduct intensive research on fault detection. The research results indicate that the fault location is determined by the first dimensional variable, and the occurrence time of fault is determined by the second dimensional variable. The research in this paper will contribute to the development of future smart grid.


References | Cited By  «-- Click to see who has cited this paper

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[15] X. Y. Tong, X. R. Wang, R. Wang, F. Huang, X. Y. Dong, K. M. Hopkinson and G. Y. Song, "The study of a regional decentralized peer-to-peer negotiation-based wide-area backup protection multi-agent system," IEEE Transactions on Smart Grid, vol.4, pp.1197-1206, Jun. 2013.
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References Weight

Web of Science® Citations for all references: 177 TCR
SCOPUS® Citations for all references: 235 TCR

Web of Science® Average Citations per reference: 6 ACR
SCOPUS® Average Citations per reference: 8 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-01 05:38 in 126 seconds.




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