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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2011 - 7

 HIGH-IMPACT PAPER 

Voltage Sags Matching to Locate Faults for Underground Distribution Networks

MOKHLIS, H. See more information about MOKHLIS, H. on SCOPUS See more information about MOKHLIS, H. on IEEExplore See more information about MOKHLIS, H. on Web of Science, MOHAMAD, H. See more information about  MOHAMAD, H. on SCOPUS See more information about  MOHAMAD, H. on SCOPUS See more information about MOHAMAD, H. on Web of Science, LI, H. See more information about  LI, H. on SCOPUS See more information about  LI, H. on SCOPUS See more information about LI, H. on Web of Science, BAKAR, A. H. A. See more information about BAKAR, A. H. A. on SCOPUS See more information about BAKAR, A. H. A. on SCOPUS See more information about BAKAR, A. H. A. on Web of Science
 
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Download PDF pdficon (761 KB) | Citation | Downloads: 1,418 | Views: 4,260

Author keywords
fault location, power distribution faults, pattern matching

References keywords
fault(13), power(12), distribution(10), location(9), delivery(7), voltage(5), system(5), networks(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-05-30
Volume 11, Issue 2, Year 2011, On page(s): 43 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02007
Web of Science Accession Number: 000293840500007
SCOPUS ID: 79958787897

Abstract
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Full text preview
A voltage sags matching to locate a fault for underground distribution network is presented in this paper. Firstly the method identifies the faulted section by matching a voltage sags measured at the primary substation during a fault with pre-developed voltage sag database. From the identified faulted section, the distance of a fault from sending-end is calculated. The problem of multiple sections is addressed by ranking approach. Test results on an underground distribution network shows most faults can be located by the first attempt within high accuracy distance. Only few faulted sections found by the second attempt. Since the method is using only voltage sag data, monitored at the primary substation, the method is considers economical to be implemented for a rural distribution network.


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

[1] Zeng Xiangjun, Li, K. K., Liu Zhengyi, Yin Xianggen, "Fault location using traveling wave for power networks", in Proc. 39th Annu. IAS Conf. Industry Application, 3-7 Oct. 2004, vol. 4, pp. 2426 - 2429
[CrossRef]


[2] H. Hizam, P. A. Crossley, P. F. Gale, G. Bryson, "Fault section identification and location on a distribution feeder using traveling waves," in Proc. IEEE Power Engineering Society Summer Meeting, 2002, Vol. 3, pp. 1107-1112.
[CrossRef]


[3] Yuan-Yih Hsu, F.-C.Lu, Y. Chien, J. P. Liu, J. T. Lin, P. H. S. Yu, R. R. T. Kuo, "An expert system for locating distribution system faults", IEEE Trans. Power Delivery, vol. 6, Issue 1, pp. 366 - 372, Jan. 1991.
[CrossRef] [SCOPUS Times Cited 86]


[4] Hong-Tzer Yang, Wen-Yeau Chang and Ching-Lien Huang, "A new neural networks approach to on-line fault section estimation using information of protective relays and circuit breakers", IEEE Trans Power Delivery, vol. 9, no 1, pp. 220-230, Jan. 1994.
[CrossRef] [Web of Science Times Cited 70] [SCOPUS Times Cited 99]


[5] H. J. Lee, D. Y. Park, B. S. Ahn, Y. M. Park, and S. S. Venkata, "A fuzzy expert system for the integrated fault diagnosis", IEEE Trans. Power Delivery, vol. 15, no. 2, pp. 833-838, 2000.
[CrossRef] [Web of Science Times Cited 56] [SCOPUS Times Cited 94]


[6] J.Zhu, D. L. L., A .A. Girgis, "Automated fault location and diagnosis on electric power distribution feeders", IEEE Trans. Power Delivery, pp. 801-809, 1997.
[CrossRef] [Web of Science Times Cited 161] [SCOPUS Times Cited 246]


[7] E. C. Senger, G. M., Jr.,C. Goldemberg, and E. L. Pellini, "Automated fault location System for Primary Distribution Networks". IEEE Trans. Power Delivery, pp. 1332-1340, 2005.
[CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 83]


[8] Seung-Jae Lee, Myeon-Song Choi, Sang-Hee Kang, Bo-Gun Jin, Duck-Su Lee, Bok-Shin Ahn, Nam-Seon Yoon, Ho-Yong Kim, Sang-Bong Wee, "An intelligent and efficient fault location and diagnosis scheme for radial distribution systems", IEEE Trans. Power Delivery, vol. 19, No 2, pp. 524 - 532, April 2004.
[CrossRef] [Web of Science Times Cited 126] [SCOPUS Times Cited 177]


[9] W. Tenschert, "Fault location using fault distance measurement of digital relays", in Proc. 12th International Conference on Electricity Distribution, CIRED, May 1993, vol. 4, pp. 4.20/1 - 4.20/4.

[10] Z. Galijasevic, A. Abur, "Fault location using voltage measurements," IEEE Trans. Power Delivery, vol.17, pp. 441-445, April 2002.
[CrossRef] [Web of Science Times Cited 75] [SCOPUS Times Cited 100]


[11] M. Kezunovic and Y. Liao, "Fault location estimation based on matching the simulated and recorded waveforms using genetic algorithms", in Proc. 7th International Conference on Development in Power System Protection, Amsterdam, pp. 399-402, April 2001.
[CrossRef]


[12] H. Mokhlis, H. Y. Li, A. R. Khalid, "The application of voltage sags pattern to locate a faulted section in distribution network", International Review of Electrical Engineering (IREE), vol. 5, no. 7, pp 173-179,February 2010.

[13] H. Mokhlis, A. H. A. Bakar, D. N. A.Talib, Hasmaini Mohamad, "The Improvement of Voltage Sags Pattern Approach to Locate a Fault in Distribution Network", International Review of Electrical Engineering (IREE), vol. 5, no. 3, pp 1159-1164, June 2010.

[14] H. Mokhlis, H. Y. Li, "Non-linear representation of voltage sag profiles for fault location in distribution networks", Int. Journal. Of Electrical Power and Energy Systems, vol. 33, no.1, pp 124-130 January 2011.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 52]


[15] Math H. J. Boollen, "Fast assessment methods for voltage sags in distribution systems", IEEE Trans. Industry Application, vol. 32, pp. 1414-1423, Nov. 1996.
[CrossRef] [Web of Science Times Cited 90] [SCOPUS Times Cited 141]


References Weight

Web of Science® Citations for all references: 677 TCR
SCOPUS® Citations for all references: 1,078 TCR

Web of Science® Average Citations per reference: 45 ACR
SCOPUS® Average Citations per reference: 72 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 2021-10-17 22:52 in 81 seconds.




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


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