A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks

Rahman Dashti, Mohammad Daisy, Hamid Reza Shaker, Maryamsadat Tahavori

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

Distribution networks are important components of power and energy infrastructure. Today's distribution networks are vulnerable to different types of faults. To make the electric grid more resilient, it is important to detect and locate faults in distribution lines quickly and accurately. Impedance methods are the most common ways used to locate the faults. In this paper, first possible fault locations are identified using the improved impedance method. Then, its natural frequencies are determined. Since there are more than one possible fault locations, it is necessary to identify the fault section in order to determine the fault location accurately. The fault section and its main location are determined through simulating the fault in each section of possible locations. This is done by small steps and through accommodating the determined frequency to the existing natural frequency registered in the original fault voltage form. The proposed method is applied in Salim's 11-node network in which effect of fault inception angles, effect of different resistors and fault type are tested. Accuracy and efficiency of the proposed method has been verified.
OriginalsprogEngelsk
TitelProceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies : ISAECT
Antal sider4
ForlagIEEE
Publikationsdato2018
Artikelnummer8618797
ISBN (Trykt)978-1-5386-7329-4
ISBN (Elektronisk)9781538673287
DOI
StatusUdgivet - 2018
Begivenhed 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) - Kenitra, Marokko
Varighed: 21. nov. 201823. nov. 2018

Konference

Konference 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT)
LandMarokko
ByKenitra
Periode21/11/201823/11/2018

Fingeraftryk

Electric fault location
Electric power distribution
Natural frequencies
Acoustic impedance
Resistors
Electric potential

Citer dette

Dashti, R., Daisy, M., Shaker, H. R., & Tahavori, M. (2018). A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks. I Proceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies: ISAECT [8618797] IEEE. https://doi.org/10.1109/ISAECT.2018.8618797
Dashti, Rahman ; Daisy, Mohammad ; Shaker, Hamid Reza ; Tahavori, Maryamsadat. / A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks. Proceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies: ISAECT. IEEE, 2018.
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title = "A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks",
abstract = "Distribution networks are important components of power and energy infrastructure. Today's distribution networks are vulnerable to different types of faults. To make the electric grid more resilient, it is important to detect and locate faults in distribution lines quickly and accurately. Impedance methods are the most common ways used to locate the faults. In this paper, first possible fault locations are identified using the improved impedance method. Then, its natural frequencies are determined. Since there are more than one possible fault locations, it is necessary to identify the fault section in order to determine the fault location accurately. The fault section and its main location are determined through simulating the fault in each section of possible locations. This is done by small steps and through accommodating the determined frequency to the existing natural frequency registered in the original fault voltage form. The proposed method is applied in Salim's 11-node network in which effect of fault inception angles, effect of different resistors and fault type are tested. Accuracy and efficiency of the proposed method has been verified.",
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Dashti, R, Daisy, M, Shaker, HR & Tahavori, M 2018, A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks. i Proceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies: ISAECT., 8618797, IEEE, 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) , Kenitra, Marokko, 21/11/2018. https://doi.org/10.1109/ISAECT.2018.8618797

A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks. / Dashti, Rahman; Daisy, Mohammad ; Shaker, Hamid Reza; Tahavori, Maryamsadat.

Proceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies: ISAECT. IEEE, 2018. 8618797.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks

AU - Dashti, Rahman

AU - Daisy, Mohammad

AU - Shaker, Hamid Reza

AU - Tahavori, Maryamsadat

PY - 2018

Y1 - 2018

N2 - Distribution networks are important components of power and energy infrastructure. Today's distribution networks are vulnerable to different types of faults. To make the electric grid more resilient, it is important to detect and locate faults in distribution lines quickly and accurately. Impedance methods are the most common ways used to locate the faults. In this paper, first possible fault locations are identified using the improved impedance method. Then, its natural frequencies are determined. Since there are more than one possible fault locations, it is necessary to identify the fault section in order to determine the fault location accurately. The fault section and its main location are determined through simulating the fault in each section of possible locations. This is done by small steps and through accommodating the determined frequency to the existing natural frequency registered in the original fault voltage form. The proposed method is applied in Salim's 11-node network in which effect of fault inception angles, effect of different resistors and fault type are tested. Accuracy and efficiency of the proposed method has been verified.

AB - Distribution networks are important components of power and energy infrastructure. Today's distribution networks are vulnerable to different types of faults. To make the electric grid more resilient, it is important to detect and locate faults in distribution lines quickly and accurately. Impedance methods are the most common ways used to locate the faults. In this paper, first possible fault locations are identified using the improved impedance method. Then, its natural frequencies are determined. Since there are more than one possible fault locations, it is necessary to identify the fault section in order to determine the fault location accurately. The fault section and its main location are determined through simulating the fault in each section of possible locations. This is done by small steps and through accommodating the determined frequency to the existing natural frequency registered in the original fault voltage form. The proposed method is applied in Salim's 11-node network in which effect of fault inception angles, effect of different resistors and fault type are tested. Accuracy and efficiency of the proposed method has been verified.

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KW - Fault location

KW - Fault section estimation

U2 - 10.1109/ISAECT.2018.8618797

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Dashti R, Daisy M, Shaker HR, Tahavori M. A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks. I Proceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies: ISAECT. IEEE. 2018. 8618797 https://doi.org/10.1109/ISAECT.2018.8618797