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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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  3/2013 - 5

 HIGHLY CITED PAPER 

New Fault Discrimination under the Influence of Rayleigh Noise

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 (647 KB) | Citation | Downloads: 941 | Views: 3,883

Author keywords
fault discrimination, wide area measurement system, wide area backup protection, Rayleigh distribution, wind power

References keywords
power(23), systems(12), energy(7), system(6), electric(6), wind(5), jijepes(5), fault(5), thorp(4), research(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 27 - 32
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03005
Web of Science Accession Number: 000326321600005
SCOPUS ID: 84884921522

Abstract
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Full text preview
The researches in this paper mainly provide service for wide area adaptive backup protection. A new fault discriminant technology based on the criterion for fault category and non-fault category will be explored. In the researches, for the common fault types in power system, fully considering the influence of wind power, we have discussed the new fault discriminant technology under Rayleigh noise. Simulation results have shown that even there are random disturbances from Rayleigh noise, the criterion for fault category and non-fault category can still accurately identify system faults.


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 188] [SCOPUS Times Cited 247]


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

[3] A. G. Phadke and J. S. Thorp, Computer Relaying for Power System. Second edition, Chichester: John Wiley & Sons Ltd, 2009.

[4] 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.
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[6] 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.
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[7] 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]


[8] 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 703] [SCOPUS Times Cited 941]


[9] Y. G. Zhang, Z. P. Wang and S. Q. Zhao, "An effective fault identification technique for electrical engineering," Electronics and Electrical Engineering, vol.123, pp. 27-30, Sep. 2012.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 6]


[10] 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]


[11] 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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[CrossRef] [Web of Science Times Cited 117] [SCOPUS Times Cited 152]


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[CrossRef] [Full Text] [Web of Science Times Cited 19] [SCOPUS Times Cited 23]


[14] Y. G. Zhang, Z. P. Wang and J. F. Zhang, "A novel fault identification using WAMS/PMU," Advances in Electrical and Computer Engineering, vol.12, pp.21-26, May 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 10] [SCOPUS Times Cited 11]


[15] 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 77]


[16] S. G. Lin, P. J. Yuan and D. X. Shen, Multivariate Statistical Analysis and Calculation Program. Wuhan: Huazhong University of Technology Press, 1988.

[17] J. M. Lu, W. L. Dentler and E. A. Lundquist, "FLI-1 flightless-1 and LET-60 ras control germ line morphogenesis in c. elegans," BMC Developmental Biology, vol.8, pp.1-19, May 2008.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 11]


[18] M. L. E. Gracey, J. M. Maniar, Z. Y. Chen, J. Lu, A. Z. Fire and M. A. Kay, "Minicircle DNA vectors achieve sustained expression reflected by active chromatin and transcriptional level," Molecular Therapy, vol.21, pp.131-138, Jan. 2013.
[CrossRef] [Web of Science Times Cited 95] [SCOPUS Times Cited 98]


[19] M. Stiebler, Wind Energy Systems for Electric Power Generation. Berlin: Springer-Verlag, 2008.

[20] S. Y. Wang and J. L. Yu, "Optimal sizing of the CAES system in a power system with high wind power penetration," International Journal of Electrical Power & Energy Systems, vol.37, pp.117-125, May 2012.
[CrossRef] [Web of Science Times Cited 54] [SCOPUS Times Cited 61]


[21] X. Liu, "Copula of trivariate Rayleigh distribution with exponential correlation," Electronics Letters, vol.47, pp.624-626, May 2011.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]


[22] S. Nadarajah and S. Kotz, "On the infinite series representations for multivariate Rayleigh distributions," IEEE Transactions on Communications, vol.55, pp. 392-393, Mar. 2007.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]


[23] J. G. Slootweg and W. L. Kling, "The impact of large scale wind power generation on power system oscillations," Electric Power Systems Research, vol.67, pp.9-20, Oct. 2003.
[CrossRef] [Web of Science Times Cited 280] [SCOPUS Times Cited 367]


[24] S. Mathew and G. S. Philip, (Ed.), Advances in Wind Energy Conversion Technology. Berlin: Springer-Verlag, 2011.

[25] N. Amjady, F. Keynia and H. Zareipour, "Short-term wind power forecasting using ridgelet neural network," Electric Power Systems Research, vol.81, pp.2099-2107, Dec. 2011.
[CrossRef] [Web of Science Times Cited 103] [SCOPUS Times Cited 128]




References Weight

Web of Science® Citations for all references: 2,218 TCR
SCOPUS® Citations for all references: 2,875 TCR

Web of Science® Average Citations per reference: 85 ACR
SCOPUS® Average Citations per reference: 111 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 2024-11-16 08:33 in 136 seconds.




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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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Stefan cel Mare University of Suceava, Romania


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