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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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Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  1/2012 - 15

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
 
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 (643 KB) | Citation | Downloads: 959 | Views: 213

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

References keywords
power(21), zhang(17), fault(14), wang(11), systems(10), wide(9), area(8), energy(7), location(6), delivery(6)
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
Quick view
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 94] [SCOPUS Times Cited 144]


[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 95] [SCOPUS Times Cited 196]


[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.
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 107]


[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.
[CrossRef] [Web of Science Times Cited 112] [SCOPUS Times Cited 176]


[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 59] [SCOPUS Times Cited 87]


[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 33] [SCOPUS Times Cited 48]


[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 69] [SCOPUS Times Cited 115]


[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 5]


[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 27] [SCOPUS Times Cited 38]


[12] 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 24] [SCOPUS Times Cited 31]


[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 102] [SCOPUS Times Cited 147]


[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 17] [SCOPUS Times Cited 21]


[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 3]


[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] [SCOPUS Times Cited 9]


[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 43] [SCOPUS Times Cited 59]


[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 14] [SCOPUS Times Cited 18]


[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 3]


[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 6]


[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: 740 TCR
SCOPUS® Citations for all references: 1,216 TCR

Web of Science® Average Citations per reference: 30 ACR
SCOPUS® Average Citations per reference: 49 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 2017-09-21 04:46 in 134 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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