Single phase fault location in power distribution systems using statistical analysis

J. Mora-Flórez; N. Estrada-Cardona; G. Morales-España

doi:10.1109/TDC-LA.2008.4641729

Single phase fault location in power distribution systems using statistical analysis

J. Mora-Flórez, N. Estrada-Cardona, G. Morales-España

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

Abstract

The fault location in electrical power systems has been considered as a issue, specially as a consequence of the regulatory requirements related to power quality. In this paper, a statistical classification algorithm based on fuzzy probability functions used to locate single phase faults in distribution systems is presented. The proposed algorithm is tested in a real power distribution system, having obtained average errors of 3.53% in faulted zone identification. An application example illustrates the precision, to locate the faulted zone, obtained with the proposed methodology. The proposed locator provides appropriate information for faults preventing and opportune attending, requires a minimum of investment and overcomes the multiple-estimation problem of the classic impedance based methods.

Original language	English
Title of host publication	2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA
DOIs	https://doi.org/10.1109/TDC-LA.2008.4641729
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA - Bogota, Colombia Duration: 13 Aug 2008 → 15 Aug 2008

Conference

Conference	2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA
Country	Colombia
City	Bogota
Period	13/08/08 → 15/08/08

Keywords

Classifiers
Fault location
Power distribution systems
Statistical analysis

Access to Document

10.1109/TDC-LA.2008.4641729

Link to publication in Scopus

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Cite this

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title = "Single phase fault location in power distribution systems using statistical analysis",

abstract = "The fault location in electrical power systems has been considered as a issue, specially as a consequence of the regulatory requirements related to power quality. In this paper, a statistical classification algorithm based on fuzzy probability functions used to locate single phase faults in distribution systems is presented. The proposed algorithm is tested in a real power distribution system, having obtained average errors of 3.53% in faulted zone identification. An application example illustrates the precision, to locate the faulted zone, obtained with the proposed methodology. The proposed locator provides appropriate information for faults preventing and opportune attending, requires a minimum of investment and overcomes the multiple-estimation problem of the classic impedance based methods.",

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Mora-Flórez, J, Estrada-Cardona, N & Morales-España, G 2008, Single phase fault location in power distribution systems using statistical analysis. in 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA., 4641729, 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA, Bogota, Colombia, 13/08/08. https://doi.org/10.1109/TDC-LA.2008.4641729

Single phase fault location in power distribution systems using statistical analysis. / Mora-Flórez, J.; Estrada-Cardona, N.; Morales-España, G.

2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA. 2008. 4641729.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N2 - The fault location in electrical power systems has been considered as a issue, specially as a consequence of the regulatory requirements related to power quality. In this paper, a statistical classification algorithm based on fuzzy probability functions used to locate single phase faults in distribution systems is presented. The proposed algorithm is tested in a real power distribution system, having obtained average errors of 3.53% in faulted zone identification. An application example illustrates the precision, to locate the faulted zone, obtained with the proposed methodology. The proposed locator provides appropriate information for faults preventing and opportune attending, requires a minimum of investment and overcomes the multiple-estimation problem of the classic impedance based methods.

AB - The fault location in electrical power systems has been considered as a issue, specially as a consequence of the regulatory requirements related to power quality. In this paper, a statistical classification algorithm based on fuzzy probability functions used to locate single phase faults in distribution systems is presented. The proposed algorithm is tested in a real power distribution system, having obtained average errors of 3.53% in faulted zone identification. An application example illustrates the precision, to locate the faulted zone, obtained with the proposed methodology. The proposed locator provides appropriate information for faults preventing and opportune attending, requires a minimum of investment and overcomes the multiple-estimation problem of the classic impedance based methods.

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