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Locating high-impedance faults in DC microgrid clusters using support vector machines

journal contribution
posted on 07.01.2022, 13:36 authored by Navid Bayati, Ebrahim Balouji, Hamid Reza Baghaee, Amin Hajizadeh, Mohsen Soltani, Zhengyu LinZhengyu Lin, Mehdi Savaghebi
With the increasing number of DC microgrids, DC microgrid clusters are emerging as a cost-effective solution. Therefore, due to the possible long distances between DC microgrids, once a fault occurs and is cleared, it should be located. Especially, locating high impedance faults (HIFs) is challenging. With communication-free fault locating methods, implementation costs can be reduced, and noise and delay of communication can be eliminated. In this paper, a novel localized fault location method using support vector machines (SVMs) is proposed for DC microgrid clusters. The purpose of this study is to facilitate the post fault conditions by locating the accurate place of the faults, even the challenging HIFs, by using the local measurements at one end of each line. The proposed scheme applies the faults, and fault features generated experimentally to the SVM, which is trained in Python for determining the fault location. The experimental test results prove that the proposed scheme is immune against disturbances, such as noise and bad calibration, and can efficiently and reliably estimate the location and resistance of faults with high accuracy.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Applied Energy

Volume

308

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Applied Energy and the definitive published version is available at https://doi.org/10.1016/j.apenergy.2021.118338

Acceptance date

03/11/2021

Publication date

2021-12-09

Copyright date

2022

ISSN

0306-2619

Language

en

Depositor

Dr Zhengyu Lin. Deposit date: 10 November 2021

Article number

118338

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