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JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Nov 2016
Next issue: Feb 2017
Avg review time: 98 days


PUBLISHER

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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LATEST NEWS

2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

2015-Dec-04
Starting with Issue 2/2016, the article processing charge is 300 EUR for each article accepted for publication. The charge of 25 EUR per page for papers over 8 pages will not be changed. Details are available in the For authors section.

2015-Jun-10
Thomson Reuters published the Journal Citations Report for 2014. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.529, and the JCR 5-Year Impact Factor is 0.476.

2015-Feb-09
Starting on the 9th of February 2015, we require all authors to identify themselves, when a submission is made, by entering their SCOPUS Author IDs, instead of the organizations, when available. This information will let us better know the publishing history of the authors and better assign the reviewers on different topics.

2015-Feb-08
We have more than 500 author names on the ban-list for cheating, including plagiarism, false signatures on the copyright form, false E-mail addresses and even tentative to impersonate well-known researchers in order to become a reviewer of our Journal. We maintain a full history of such incidents.

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  2/2012 - 4

A Novel Fault Identification Using WAMS/PMU

ZHANG, Y. See more information about ZHANG, Y. on SCOPUS See more information about ZHANG, Y. on IEEExplore See more information about ZHANG, Y. on Web of Science, WANG, Z. See more information about  WANG, Z. on SCOPUS See more information about  WANG, Z. on SCOPUS See more information about WANG, Z. on Web of Science, ZHANG, J. See more information about ZHANG, J. on SCOPUS See more information about ZHANG, J. on SCOPUS See more information about ZHANG, J. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (761 KB) | Citation | Downloads: 692 | Views: 2,716

Author keywords
fault identification, noise, principal component analysis, wide area measurement system, wams

References keywords
power(12), systems(11), zhang(9), analysis(8), fault(7), wang(6), electric(6), research(5), principal(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 21 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02004
Web of Science Accession Number: 000305608000004
SCOPUS ID: 84865279517

Abstract
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Full text preview
The important premise of the novel adaptive backup protection based on wide area information is to identify the fault in a real-time and on-line way. In this paper, the principal components analysis theory is introduced into the field of fault detection to locate precisely the fault by mean of the voltage and current phasor data from the PMUs. Massive simulation experiments have fully proven that the fault identification can be performed successfully by principal component analysis and calculation. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Under the influence of noise, the results are still accurate and reliable. So, the principal components fault identification has strong anti-interference ability and great redundancy.


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

[1] A.G. Phadke and J.S. Thorp, "Expose hidden failures to prevent cascading outages," IEEE Computer Applications in Power, vol.9, pp. 20-23, Jul. 1996
[CrossRef] [Web of Science Times Cited 82] [SCOPUS Times Cited 179]


[2] A.G. Phadke and J.S. Thorp, Synchronized phasor measurements and their applications, Springer verlag, 2008.

[3] Y. G. Zhang, Z. P. Wang, J. F. Zhang and J. Ma, "Fault localization in electrical power systems: A pattern recognition approach," International Journal of Electric Power & Energy Systems, vol.33, pp.791-798, Mar. 2011
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 57]


[4] C. Wang, Q. Q. Jia, X. B. Li and C. X. Dou, "Fault location using synchronized sequence measurements," International Journal of Electrical Power & Energy Systems, vol.30. pp. 134-139, Feb.2008
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 28]


[5] T. S. Bi, X. H. Qin and Q. X. Yang, "A novel hybrid state estimator for including synchronized phasor measurements," Electric Power Systems Research, vol.78, pp. 1343-1352, Aug. 2008
[CrossRef] [Web of Science Times Cited 58] [SCOPUS Times Cited 81]


[6] C. Wang, C. X. Dou, X. B. Li and Q. Q. Jia, "A WAMS/PMU-based fault location technique," Electric Power Systems Research, vol. 77, pp. 936-945, Jun. 2007
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 38]


[7] Z. P. Wang, Y. G. Zhang and J. F. Zhang, "Recent research progress in fault analysis of complex electric power systems," Advances in Electrical and Computer Engineering, vol.10, pp.28-33, Feb. 2010
[CrossRef] [Full Text] [Web of Science Times Cited 15] [SCOPUS Times Cited 21]


[8] L. X. Dong, D. M. Xiao, Y. S. Liang and Y. L. Liu, "Rough set and fuzzy wavelet neural network integrated with least square weighted fusion algorithm based fault diagnosis research for power transformers," Electric Power Systems Research, vol.78, pp. 129-136, Jan. 2008
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 57]


[9] Y. G. Zhang, Z. P. Wang, J. F. Zhang and J. Ma, "PCA fault feature extraction in complex electric power systems," Advances in Electrical and Computer Engineering, vol.10, pp.102-107, Aug. 2010
[CrossRef] [Full Text] [Web of Science Times Cited 13] [SCOPUS Times Cited 18]


[10] P. Giordania and H. Kiersb, "Principal component analysis of symmetric fuzzy data," Computational Statistics & Data Analysis, vol.45, pp. 519-548, Apr. 2004
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 27]


[11] P. L. Cui, J. H. Li and G. Z. Wang, "Improved kernel principal component analysis for fault detection," Expert Systems with Applications, vol.34, pp. 1210-1219, Feb. 2008
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 57]


[12] C. D. Lu, C. M Zhang, T. Y. Zhang and W. Zhang, "Kernel based symmetrical principal component analysis for face classification," Neurocomputing, vol.70, pp. 904-911, Jan. 2007
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 16]


[13] M.A. Perry, H.P. Wynn and R.A. Bates, "Principal components analysis in sensitivity studies of dynamic systems," Probabilistic Engineering Mechanics, vol. 21, pp. 454-460, Oct. 2006
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 10]


[14] A. G. Phadke and J. S. Thorp, Computer relaying for power system, Second edition, John Wiley & Sons Ltd, Chichester, 2009.

[15] R. Johnson and D. Wichern, Applied multivariate statistical analysis, Prentice Hall, London, 2002.

[16] J. P. Zhu, Applied multivariate statistical analysis, Science Press, Beijing, 2006.

[17] D. Johnson, Applied multivariate methods for data analysts, Duxbury Press, Pacific Grove, CA, 1998.

[18] IEEE Std C37.118TM-2005, IEEE standard for synchrophasors for power systems, IEEE, New York, 2006.



References Weight

Web of Science® Citations for all references: 369 TCR
SCOPUS® Citations for all references: 589 TCR

Web of Science® Average Citations per reference: 19 ACR
SCOPUS® Average Citations per reference: 31 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 2016-12-10 20:20 in 70 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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