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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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  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: 1,740 | Views: 5,248

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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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

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 13
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Cited-By CrossRef

[1] A Review on Distribution Grid Fault Location Techniques, Shafiullah, Md, Abido, Mohammad Ali, Electric Power Components and Systems, ISSN 1532-5008, Issue 8, Volume 45, 2017.
Digital Object Identifier: 10.1080/15325008.2017.1310772
[CrossRef]

[2] High impedance fault location in 11kV underground distribution systems using wavelet transforms, Bakar, A.H.A., Ali, M.S., Tan, ChiaKwang, Mokhlis, H., Arof, H., Illias, H.A., International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, Issue , 2014.
Digital Object Identifier: 10.1016/j.ijepes.2013.10.003
[CrossRef]

[3] New impedance-based fault location method for unbalanced power distribution systems, Alwash, Shamam F., Ramachandaramurthy, Vigna K., International Transactions on Electrical Energy Systems, ISSN 2050-7038, Issue 6, Volume 25, 2015.
Digital Object Identifier: 10.1002/etep.1885
[CrossRef]

[4] Fault Section Identification in Smart Distribution Systems Using Multi-Source Data Based on Fuzzy Petri Nets, Kiaei, Iman, Lotfifard, Saeed, IEEE Transactions on Smart Grid, ISSN 1949-3053, Issue 1, Volume 11, 2020.
Digital Object Identifier: 10.1109/TSG.2019.2917506
[CrossRef]

[5] Experimental System for Monitoring and Diagnosis of a Static Power Converter, IVANOV, V. I., BROJBOIU, M. D., IVANOV, S. S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.02018
[CrossRef] [Full text]

[6] An Approach for Assigning Responsibilities of Short-Term Voltage Variations in Electrical Power Systems, Ferreira, Adrian Ribeiro, Gianesini, Barbara Morais, Oliveira, Jose Carlos de, Rezende, Paulo Henrique Oliveira, IEEE Access, ISSN 2169-3536, Issue , 2023.
Digital Object Identifier: 10.1109/ACCESS.2023.3237921
[CrossRef]

[7] Novel faultā€location method for overhead electrical distribution systems, Alwash, Shamam Fadhil, Ramachandaramurthy, Vigna Kumaran, IEEJ Transactions on Electrical and Electronic Engineering, ISSN 1931-4973, Issue S1, Volume 8, 2013.
Digital Object Identifier: 10.1002/tee.21913
[CrossRef]

[8] A Differential Particle Swarm Optimization-based Support Vector Machine Classifier for Fault Diagnosis in Power Distribution Systems, CHO, M. Y., HOANG, T. T., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.03007
[CrossRef] [Full text]

[9] A Two-Stage Fault Location Identification Method in Multiarea Power Grids Using Heterogeneous Types of Data, Kiaei, Iman, Lotfifard, Saeed, IEEE Transactions on Industrial Informatics, ISSN 1551-3203, Issue 7, Volume 15, 2019.
Digital Object Identifier: 10.1109/TII.2018.2885320
[CrossRef]

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