Fuzzy Logic Based Scheme for Directional Earth Fault Detection and Classification

Radhwan Mohammed Saleem Dawood , Gobind Gopalakrishna Pillai, Maher Al-Greer

Research output: Contribution to conferencePaperResearchpeer-review

27 Downloads (Pure)

Abstract

This paper presents a fuzzy-logic-based protection scheme for detecting the direction of earth faults in a transmission network using polarized voltage. The IEEE 9-Bus transmission network has been used to test the fuzzy logic scheme in MATLAB/Simulink. The proposed scheme involves the measurement of RMS value of each phase voltage in order to detect occurrence of a fault; the direction of fault is determined by measuring the phase angle between the fault current and the polarized or reference voltage. The proposed scheme has been tested in six earth fault cases, faults in the forward and reverse direction per phase. The simulation results demonstrate that the proposed protection scheme is able to detect earth fault and classify the fault direction accurately within one cycle time.
Original languageEnglish
Publication statusAccepted/In press - 4 Sep 2018
EventIEEE 53rd International Universities Power Engineering Conference - Glasgow Caledonian University, Glasgow, Scotland, UK, Glasgow, United Kingdom
Duration: 4 Sep 20187 Sep 2018
http://www.upec2018.com/
http://www.upec2018.com/

Conference

ConferenceIEEE 53rd International Universities Power Engineering Conference
Abbreviated titleUPEC 2018
CountryUnited Kingdom
CityGlasgow
Period4/09/187/09/18
Internet address

Fingerprint

Fault detection
Fuzzy logic
Electric power transmission networks
Earth (planet)
Electric potential
Electric fault currents
MATLAB

Cite this

Dawood , R. M. S., Gopalakrishna Pillai, G., & Al-Greer, M. (Accepted/In press). Fuzzy Logic Based Scheme for Directional Earth Fault Detection and Classification. Paper presented at IEEE 53rd International Universities Power Engineering Conference, Glasgow, United Kingdom.
Dawood , Radhwan Mohammed Saleem ; Gopalakrishna Pillai, Gobind ; Al-Greer, Maher. / Fuzzy Logic Based Scheme for Directional Earth Fault Detection and Classification. Paper presented at IEEE 53rd International Universities Power Engineering Conference, Glasgow, United Kingdom.
@conference{e77fb25e62934f0eab20e43e80f5a0f3,
title = "Fuzzy Logic Based Scheme for Directional Earth Fault Detection and Classification",
abstract = "This paper presents a fuzzy-logic-based protection scheme for detecting the direction of earth faults in a transmission network using polarized voltage. The IEEE 9-Bus transmission network has been used to test the fuzzy logic scheme in MATLAB/Simulink. The proposed scheme involves the measurement of RMS value of each phase voltage in order to detect occurrence of a fault; the direction of fault is determined by measuring the phase angle between the fault current and the polarized or reference voltage. The proposed scheme has been tested in six earth fault cases, faults in the forward and reverse direction per phase. The simulation results demonstrate that the proposed protection scheme is able to detect earth fault and classify the fault direction accurately within one cycle time.",
author = "Dawood, {Radhwan Mohammed Saleem} and {Gopalakrishna Pillai}, Gobind and Maher Al-Greer",
year = "2018",
month = "9",
day = "4",
language = "English",
note = "IEEE 53rd International Universities Power Engineering Conference, UPEC 2018 ; Conference date: 04-09-2018 Through 07-09-2018",
url = "http://www.upec2018.com/, http://www.upec2018.com/",

}

Dawood , RMS, Gopalakrishna Pillai, G & Al-Greer, M 2018, 'Fuzzy Logic Based Scheme for Directional Earth Fault Detection and Classification' Paper presented at IEEE 53rd International Universities Power Engineering Conference, Glasgow, United Kingdom, 4/09/18 - 7/09/18, .

Fuzzy Logic Based Scheme for Directional Earth Fault Detection and Classification. / Dawood , Radhwan Mohammed Saleem ; Gopalakrishna Pillai, Gobind; Al-Greer, Maher.

2018. Paper presented at IEEE 53rd International Universities Power Engineering Conference, Glasgow, United Kingdom.

Research output: Contribution to conferencePaperResearchpeer-review

TY - CONF

T1 - Fuzzy Logic Based Scheme for Directional Earth Fault Detection and Classification

AU - Dawood , Radhwan Mohammed Saleem

AU - Gopalakrishna Pillai, Gobind

AU - Al-Greer, Maher

PY - 2018/9/4

Y1 - 2018/9/4

N2 - This paper presents a fuzzy-logic-based protection scheme for detecting the direction of earth faults in a transmission network using polarized voltage. The IEEE 9-Bus transmission network has been used to test the fuzzy logic scheme in MATLAB/Simulink. The proposed scheme involves the measurement of RMS value of each phase voltage in order to detect occurrence of a fault; the direction of fault is determined by measuring the phase angle between the fault current and the polarized or reference voltage. The proposed scheme has been tested in six earth fault cases, faults in the forward and reverse direction per phase. The simulation results demonstrate that the proposed protection scheme is able to detect earth fault and classify the fault direction accurately within one cycle time.

AB - This paper presents a fuzzy-logic-based protection scheme for detecting the direction of earth faults in a transmission network using polarized voltage. The IEEE 9-Bus transmission network has been used to test the fuzzy logic scheme in MATLAB/Simulink. The proposed scheme involves the measurement of RMS value of each phase voltage in order to detect occurrence of a fault; the direction of fault is determined by measuring the phase angle between the fault current and the polarized or reference voltage. The proposed scheme has been tested in six earth fault cases, faults in the forward and reverse direction per phase. The simulation results demonstrate that the proposed protection scheme is able to detect earth fault and classify the fault direction accurately within one cycle time.

M3 - Paper

ER -

Dawood RMS, Gopalakrishna Pillai G, Al-Greer M. Fuzzy Logic Based Scheme for Directional Earth Fault Detection and Classification. 2018. Paper presented at IEEE 53rd International Universities Power Engineering Conference, Glasgow, United Kingdom.