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

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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies : ISAECT
Number of pages4
PublisherIEEE
Publication date2018
Article number8618797
ISBN (Print)978-1-5386-7329-4
ISBN (Electronic)9781538673287
DOIs
Publication statusPublished - 2018
Event 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) - Kenitra, Morocco
Duration: 21. Nov 201823. Nov 2018

Conference

Conference 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT)
CountryMorocco
CityKenitra
Period21/11/201823/11/2018

Fingerprint

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

Keywords

  • Distribution network
  • Fault distance measurement
  • Fault location
  • Fault section estimation

Cite this

Dashti, R., Daisy, M., Shaker, H. R., & Tahavori, M. (2018). A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks. In 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.
@inproceedings{14b3e62047a3428fbb8b0ef1aa11adb7,
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.",
keywords = "Distribution network, Fault distance measurement, Fault location, Fault section estimation",
author = "Rahman Dashti and Mohammad Daisy and Shaker, {Hamid Reza} and Maryamsadat Tahavori",
year = "2018",
doi = "10.1109/ISAECT.2018.8618797",
language = "English",
isbn = "978-1-5386-7329-4",
booktitle = "Proceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies",
publisher = "IEEE",
address = "United States",

}

Dashti, R, Daisy, M, Shaker, HR & Tahavori, M 2018, A New Matching Algorithm for Fault Section Estimation in Power Distribution Networks. in 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, Morocco, 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.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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.

KW - Distribution network

KW - Fault distance measurement

KW - Fault location

KW - Fault section estimation

U2 - 10.1109/ISAECT.2018.8618797

DO - 10.1109/ISAECT.2018.8618797

M3 - Article in proceedings

SN - 978-1-5386-7329-4

BT - Proceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies

PB - IEEE

ER -

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