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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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  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: 1,124 | Views: 2,409

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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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 683] [SCOPUS Times Cited 917]


[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 24] [SCOPUS Times Cited 35]


[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 95] [SCOPUS Times Cited 118]


[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 186] [SCOPUS Times Cited 244]


[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 48] [SCOPUS Times Cited 56]


[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 114] [SCOPUS Times Cited 148]


[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 30]


[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 115] [SCOPUS Times Cited 140]


[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.
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[CrossRef] [Full Text] [Web of Science Times Cited 5] [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 18] [SCOPUS Times Cited 21]


[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 18]


[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 225] [SCOPUS Times Cited 280]


[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 184] [SCOPUS Times Cited 251]


[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 25] [SCOPUS Times Cited 53]


[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 19] [SCOPUS Times Cited 23]


[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] [Web of Science Times Cited 13] [SCOPUS Times Cited 13]


[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 6] [SCOPUS Times Cited 5]


[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 13] [SCOPUS Times Cited 15]




References Weight

Web of Science® Citations for all references: 1,840 TCR
SCOPUS® Citations for all references: 2,400 TCR

Web of Science® Average Citations per reference: 71 ACR
SCOPUS® Average Citations per reference: 92 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 2024-06-06 14:11 in 136 seconds.




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