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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: 643243560
doi: 10.4316/AECE


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  1/2012 - 15

 HIGHLY CITED PAPER 

Bayes-Based Fault Discrimination in Wide Area Backup Protection

WANG, Z. See more information about WANG, Z. on SCOPUS See more information about WANG, Z. on IEEExplore 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, 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 (643 KB) | Citation | Downloads: 1,447 | Views: 265

Author keywords
bayesian discriminant analysis, fault discrimination, phasor measurement unit, PMU, wide area backup protection

References keywords
power(21), fault(14), systems(10), wide(9), area(8), energy(7), location(6), delivery(6), protection(5), phadke(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 91 - 96
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01015
Web of Science Accession Number: 000301075000015
SCOPUS ID: 84860757818

Abstract
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Full text preview
Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that some samples belong to these populations, and compare the corresponding probability. The sample will be classified as population with maximum probability. In this paper, based on Bayesian discriminant analysis principle, a great number of simulation examples have confirmed that the results of Bayesian fault discriminant in wide area backup protection are accurate and reliable.


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

[1] S. H. Horowitz and A. G. Phadke, "Third zone revisited," IEEE Transactions on Power Delivery, vol.21, pp.23-29, Jan. 2006.
[CrossRef] [Web of Science Times Cited 186] [SCOPUS Times Cited 244]


[2] 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 161] [SCOPUS Times Cited 260]


[3] J.C. Tan, P.A. Crossley, P.G. McLaren, P.F. Gale, I. Hall, J.Farrell, "Application of a wide area backup protection expert system to prevent cascading outages," IEEE Transactions on Power Delivery, vol.17, pp.375-380, Apr. 2002.
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[4] A. G. Phadke and R.M. de Moraes, "The wide world of wide-area measurement," IEEE Power & Energy Magazine, vol.6, pp.52-65, Aug. 2008.
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[5] A. G. Phadke and J. S. Thorp, Synchronized phasor measurements and their applications, Springer Verlag, 2008.

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

[7] K. P. Lien, C.W. Liu, C. S. Y, J. Jiang, "Transmission network fault location observability with minimal PMU placement," IEEE Transactions on Power Delivery, vol.21, pp.1128-1136, Jul. 2006. [Online].
[CrossRef] [Web of Science Times Cited 104] [SCOPUS Times Cited 142]


[8] Z. Q. He, Z. Zhang, W, Chen, O.P. Malik and X. G. Yin, "Wide-Area Backup Protection Algorithm Based on Fault Component Voltage Distribution," IEEE Transactions on Power Delivery, vol.26, pp.2752-2760, Oct. 2011.
[CrossRef] [Web of Science Times Cited 95] [SCOPUS Times Cited 117]


[9] M. M. Eissa, M. E. Masoud, M. M.M. Elanwar, "A Novel back up wide area protection technique for power transmission grids using phasor measurement," IEEE Transactions on Power Delivery, vol.25, pp.270-278, Jan. 2010.
[CrossRef] [Web of Science Times Cited 197] [SCOPUS Times Cited 268]


[10] J. Tang, P.G. Mclaren. "A wide area differential backup protection scheme for shipboard application," IEEE Transactions on Power Delivery, vol.21, pp.1183-1190, Jul. 2005.
[CrossRef] [SCOPUS Times Cited 7]


[11] 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 41] [SCOPUS Times Cited 61]


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[CrossRef] [Web of Science Times Cited 33] [SCOPUS Times Cited 38]


[13] J. N. Peng, Y. Z. Sun and H. F. Wang, "Optimal PMU placement for full network observability using Tabu search algorithm," International Journal of Electrical Power & Energy Systems, vol. 28, pp. 223-231, May. 2006.
[CrossRef] [Web of Science Times Cited 184] [SCOPUS Times Cited 250]


[14] 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 19] [SCOPUS Times Cited 23]


[15] Y. G. Zhang, J. Ma, J. F. Zhang and Z. P. Wang, "Fault diagnosis based on cluster analysis theory in wide area backup protection system," in Proc. 2009 Asia-Pacific Power and Energy Engineering Conference, Wuhan, 2009, pp.1-4.
[CrossRef] [SCOPUS Times Cited 7]


[16] Y. G. Zhang, Z. P. Wang and J. F. Zhang, "Fault discrimination using synchronized sequence measurements under strong white gaussian noise background," International Journal of Emerging Electric Power Systems, vol.12, pp.1-15, Jun. 2011.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 12]


[17] 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 62] [SCOPUS Times Cited 76]


[18] 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 16] [SCOPUS Times Cited 20]


[19] Y. Tharrualt, G. Mourot and J. Ragot, "Fault detection and isolation with robust principal component analysis," in Proc. 16th Mediterranean Conference on Control & Automation, Ajaccio, 2008, pp. 59-64.
[CrossRef] [SCOPUS Times Cited 17]


[20] Y. G. Zhang, Z. P. Wang and J. F. Zhang, "PCA Fault location based on wide area measurement systems," in Proc. 5th International Conf. Critical Infrastructure, Bejing, 2010, pp. 1-4.
[CrossRef] [SCOPUS Times Cited 2]


[21] Z. P. Wang, Y. G. Zhang and J. F. Zhang, "Principal components fault location based on WAMS-PMU measure system," in Proc. 2011 IEEE Power and Energy Society General Meeting, USA, 2011, pp. 1-5.
[CrossRef] [SCOPUS Times Cited 9]


[22] J. Cao, Principal component analysis based fault detection and isolation, Ph.D. thesis of George Mason University, 2004.

[23] J. E. Jackson, A user's guide to principal components, John Wiley and Sons, New York, 1991.

[24] C. L. Mei and J. C. Fan, Data analysis methods, Higher Education Press, Beijing, 2006.

[25] Y. G. Zhang, Z. P. Wang and J. F. Zhang, "New type of wide area fault location algorithm based on posterior viewpoints," in Proc. IASTED International Conference on Power and Energy Systems and Applications, Pittsburgh, 2011, pp.77-81.
[CrossRef] [SCOPUS Times Cited 1]


References Weight

Web of Science® Citations for all references: 1,379 TCR
SCOPUS® Citations for all references: 1,959 TCR

Web of Science® Average Citations per reference: 55 ACR
SCOPUS® Average Citations per reference: 78 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 2024-03-23 23:56 in 117 seconds.




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Stefan cel Mare University of Suceava, Romania


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