MIP-Based Fault Location Identification Using MicroPMUs

Mohammed Alqahtani; Zhixin Miao; Lingling Fan

doi:10.1109/NAPS.2018.8600566

MIP-Based Fault Location Identification Using MicroPMUs

Mohammed Alqahtani, Zhixin Miao, Lingling Fan

University of South Florida

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, a mixed integer programming (MIP)- based method is proposed to identify not only fault locations and types in unbalanced three-phase distribution networks, but also the magnitude and the angle of the fault currents. Moreover, the minimum microPMU placement for faults detection is determined based on the impedance matrix characteristics. Different type of faults (symmetrical and unsymmetrical) are preformed on the IEEE 37-bus feeder to test the effectiveness of the proposed algorithm in fault location and current identification. Further tests are presented to examine the performance of the proposed approach against different substation transformer configurations. The suggested algorithm shows high success rate in identifying fault locations, types and currents.

Original language	English
Title of host publication	2018 North American Power Symposium, NAPS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538671382
DOIs	https://doi.org/10.1109/NAPS.2018.8600566
State	Published - 2 Jul 2018
Externally published	Yes
Event	2018 North American Power Symposium, NAPS 2018 - Fargo, United States Duration: 9 Sep 2018 → 11 Sep 2018

Publication series

Name	2018 North American Power Symposium, NAPS 2018

Conference

Conference	2018 North American Power Symposium, NAPS 2018
Country/Territory	United States
City	Fargo
Period	9/09/18 → 11/09/18

Keywords

Distribution feeder monitoring
Fault location
Least squares estimation
Mirco-PMUs
Mixed integer programming
Radial distribution network

Access to Document

10.1109/NAPS.2018.8600566

Cite this

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title = "MIP-Based Fault Location Identification Using MicroPMUs",

abstract = "In this paper, a mixed integer programming (MIP)- based method is proposed to identify not only fault locations and types in unbalanced three-phase distribution networks, but also the magnitude and the angle of the fault currents. Moreover, the minimum microPMU placement for faults detection is determined based on the impedance matrix characteristics. Different type of faults (symmetrical and unsymmetrical) are preformed on the IEEE 37-bus feeder to test the effectiveness of the proposed algorithm in fault location and current identification. Further tests are presented to examine the performance of the proposed approach against different substation transformer configurations. The suggested algorithm shows high success rate in identifying fault locations, types and currents.",

keywords = "Distribution feeder monitoring, Fault location, Least squares estimation, Mirco-PMUs, Mixed integer programming, Radial distribution network",

author = "Mohammed Alqahtani and Zhixin Miao and Lingling Fan",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 North American Power Symposium, NAPS 2018 ; Conference date: 09-09-2018 Through 11-09-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/NAPS.2018.8600566",

language = "English",

series = "2018 North American Power Symposium, NAPS 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Alqahtani, M, Miao, Z & Fan, L 2018, MIP-Based Fault Location Identification Using MicroPMUs. in 2018 North American Power Symposium, NAPS 2018., 8600566, 2018 North American Power Symposium, NAPS 2018, Institute of Electrical and Electronics Engineers Inc., 2018 North American Power Symposium, NAPS 2018, Fargo, United States, 9/09/18. https://doi.org/10.1109/NAPS.2018.8600566

MIP-Based Fault Location Identification Using MicroPMUs. / Alqahtani, Mohammed; Miao, Zhixin; Fan, Lingling.
2018 North American Power Symposium, NAPS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8600566 (2018 North American Power Symposium, NAPS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - MIP-Based Fault Location Identification Using MicroPMUs

AU - Alqahtani, Mohammed

AU - Miao, Zhixin

AU - Fan, Lingling

PY - 2018/7/2

Y1 - 2018/7/2

N2 - In this paper, a mixed integer programming (MIP)- based method is proposed to identify not only fault locations and types in unbalanced three-phase distribution networks, but also the magnitude and the angle of the fault currents. Moreover, the minimum microPMU placement for faults detection is determined based on the impedance matrix characteristics. Different type of faults (symmetrical and unsymmetrical) are preformed on the IEEE 37-bus feeder to test the effectiveness of the proposed algorithm in fault location and current identification. Further tests are presented to examine the performance of the proposed approach against different substation transformer configurations. The suggested algorithm shows high success rate in identifying fault locations, types and currents.

AB - In this paper, a mixed integer programming (MIP)- based method is proposed to identify not only fault locations and types in unbalanced three-phase distribution networks, but also the magnitude and the angle of the fault currents. Moreover, the minimum microPMU placement for faults detection is determined based on the impedance matrix characteristics. Different type of faults (symmetrical and unsymmetrical) are preformed on the IEEE 37-bus feeder to test the effectiveness of the proposed algorithm in fault location and current identification. Further tests are presented to examine the performance of the proposed approach against different substation transformer configurations. The suggested algorithm shows high success rate in identifying fault locations, types and currents.

KW - Distribution feeder monitoring

KW - Fault location

KW - Least squares estimation

KW - Mirco-PMUs

KW - Mixed integer programming

KW - Radial distribution network

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M3 - Conference contribution

AN - SCOPUS:85061797068

T3 - 2018 North American Power Symposium, NAPS 2018

BT - 2018 North American Power Symposium, NAPS 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 North American Power Symposium, NAPS 2018

Y2 - 9 September 2018 through 11 September 2018

ER -

MIP-Based Fault Location Identification Using MicroPMUs

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Keywords

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