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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Aug 2018
Next issue: Nov 2018
Avg review time: 82 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: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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-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.

Read More »


    
 

  3/2014 - 3

A Novel Approach to Fault Detection in Complex Electric Power Systems

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
 
Click to see author's profile in 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 (756 KB) | Citation | Downloads: 629 | Views: 902

Author keywords
wide area measurement system, wide area backup protection, topology analysis, fault detection, Rayleigh disturbance

References keywords
power(24), systems(15), jijepes(6), fault(6), energy(6), electric(6), wide(5), system(5), research(5), protection(5)
Blue keywords are present in both the references section and the paper title.

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

Abstract
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Full text preview
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.


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

[1] J. De La Ree, J. S. Thorp and A. G. Phadke, "Synchronized phasor measurement applications in power systems," IEEE Transactions on Smart Grid, vol.1, no.1, pp.20-27, Jun. 2010.
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[2] A. G. Phadke and J. S. Thorp, Computer Relaying for Power System. Second edition, Chichester: John Wiley & Sons Ltd, 2009.

[3] P. Ju, C. Qin, F. Wu, H. Xie and Y. Ning, "Load modeling for wide area power system," International Journal of Electrical Power & Energy Systems, vol. 33, pp. 909-917.
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[4] 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 44] [SCOPUS Times Cited 60]


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[7] X. Tai, D. Marelli, E. Rohr and M. Fu, "Optimal PMU placement for power system state estimation with random component outages," International Journal of Electrical Power & Energy Systems, vol.51, pp.35-42, Oct. 2013.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 33]


[8] 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 79] [SCOPUS Times Cited 112]


[9] J. Anderson and A. Chakrabortty, "PMU placement for dynamic equivalencing of power systems under flow observability constraints," Electric Power Systems Research, vol.106, pp.51-61, Jan. 2014.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 19]


[10] L. Fan and Y. Wehbe, "Extended Kalman filtering based real-time dynamic state and parameter estimation using PMU data," Electric Power Systems Research, vol.103, pp.168-177, Oct.2013.
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 47]


[11] R. Silva, A. Delbem and D. Coury, "Genetic algorithms applied to phasor estimation and frequency tracking in PMU development," International Journal of Electrical Power & Energy Systems, vol.44, pp.921-929, Jan.2013.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]


[12] Z. Wang, J. Zhang and Y. Zhang, "Bayes-based fault discrimination in wide area backup protection," Advances in Electrical and Computer Engineering, vol.12, pp.91-96, Feb. 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 5]


[13] S. Nourizadeh, S. A. Nezam Sarmadi, M. J. Karimi and A. M. Ranjbar, "Power system restoration planning based on wide area measurement system," International Journal of Electrical Power & Energy Systems, vol.43, pp. 526-530, Dec. 2012.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 15]


[14] S. Garlapati, H. Lin, A. Heier, S. K. Shukla and J. S. Thorp, "A hierarchically distributed non-intrusive agent aided distance relaying protection scheme to supervise Zone 3," International Journal of Electrical Power & Energy Systems, vol.50, pp.42-49, Sep. 2013.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 14]


[15] M. A. Zamani, T. S. Sidhu and A. Yazdani, "A protection strategy and microprocessor-based relay for low-voltage microgrids," IEEE Transactions on Power Delivery, vol.26, pp.1873-1883, Jul. 2011.
[CrossRef] [Web of Science Times Cited 117] [SCOPUS Times Cited 145]


[16] Y. G. Zhang, Z. Zhao and Z. P. Wang, "Comprehensive detection and isolation of fault in complicated electrical engineering," Electronics and Electrical Engineering, vol.19, pp. 31-34, Nov. 2013.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[17] 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.
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[18] J. Tang and P. G. Mclaren, "A wide area differential backup protection scheme for shipboard application," IEEE Transactions on Power Delivery, vol.21, pp.1183-1190, Jul. 2006.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 44]


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[CrossRef] [Full Text] [Web of Science Times Cited 17] [SCOPUS Times Cited 21]


[20] 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.
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[21] Y. G. and Z. P. Wang, "New fault discrimination under the influence of Rayleigh noise," Advances in Electrical and Computer Engineering, vol.13, pp.27-32, Aug. 2013.
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[22] IEEE Std C37.118TM-2005, IEEE Standard for Synchrophasors for Power Systems. New York: IEEE, 2006.

[23] J. C. Fan and C. L. Mei, Data Analysis. Beijing: Science Press, 2010.

[24] O. D. Richard, E. H. Peter and G. S. David, Pattern Classification, 2nd ed. New York: John Wiley & Sons, 2000.

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[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 9]




References Weight

Web of Science® Citations for all references: 982 TCR
SCOPUS® Citations for all references: 1,410 TCR

Web of Science® Average Citations per reference: 38 ACR
SCOPUS® Average Citations per reference: 54 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 2018-10-13 16:04 in 138 seconds.




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Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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


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