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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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2022-Jun-28
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2022-Jun-16
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2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

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  3/2014 - 3

 HIGH-IMPACT PAPER 

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
 
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Download PDF pdficon (756 KB) | Citation | Downloads: 926 | Views: 1,929

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.
[CrossRef] [Web of Science Times Cited 619] [SCOPUS Times Cited 824]


[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.
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 32]


[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 88] [SCOPUS Times Cited 109]


[5] A. G. Phadke and J. S. Thorp, Synchronized Phasor Measurements and Their Applications. Springer verlag, 2008.

[6] 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 180] [SCOPUS Times Cited 232]


[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 47] [SCOPUS Times Cited 52]


[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 108] [SCOPUS Times Cited 141]


[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 27] [SCOPUS Times Cited 29]


[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 102] [SCOPUS Times Cited 115]


[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 16] [SCOPUS Times Cited 21]


[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 4] [SCOPUS Times Cited 6]


[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 16] [SCOPUS Times Cited 18]


[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 15] [SCOPUS Times Cited 17]


[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 214] [SCOPUS Times Cited 254]


[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.
[CrossRef] [Web of Science Times Cited 180] [SCOPUS Times Cited 239]


[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 21] [SCOPUS Times Cited 47]


[19] 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 18] [SCOPUS Times Cited 22]


[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.
[CrossRef] [SCOPUS Times Cited 11]


[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 5] [SCOPUS Times Cited 4]


[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.

[25] M. Farrokhabadi, L. Vanfretti, "An efficient automated topology processor for state estimation of power transmission networks," Electric Power Systems Research, vol.106, pp.188-202, Jan. 2014.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 12]




References Weight

Web of Science® Citations for all references: 1,697 TCR
SCOPUS® Citations for all references: 2,189 TCR

Web of Science® Average Citations per reference: 65 ACR
SCOPUS® Average Citations per reference: 84 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 2022-09-28 01:45 in 129 seconds.




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