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Local fault location in meshed DC microgrids based on parameter estimation technique

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journal contribution
posted on 20.09.2021, 12:46 authored by Navid Bayati, Hamid Reza Baghaee, Amin Hajizadeh, Mohsen Soltani, Zhengyu LinZhengyu Lin, Mehdi Savaghebi
Accurate locating of the faulty section is desired in DC microgrid due to the presence of power electronic converters and low-impedance cables. Some of the existing schemes consider power sources at only one end of the line; thus, assume that the fault current is injected from only one end of the line. This assumption is not true in the case of meshed DC microgrids, where fault current would be supplied from both ends. Moreover, existing communication-based methods require either a fast communication network or data synchronization. To address the aforementioned issues, this paper proposes a novel local fault location scheme for meshed DC microgrids. Low- and high-impedance faults are located by measuring the current by localized intelligent electronic device (LIED). Based on the parameter estimation approach, the fault location is estimated by sampling the peak values of the fault current. The effectiveness of the proposed strategy is evaluated based on offline digital time-domain simulations in MATLAB/Simulink software environment for a meshed test microgrid system and experimentally verified by implementing in a laboratory-scale hardware setup. Comparing the proposed method with other existing methods proves the effectiveness of the proposed technique for different types of faults.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Systems Journal

Volume

16

Issue

1

Pages

1606 - 1615

Publisher

Institute of Electrical and Electronics Engineers

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

23/08/2021

Publication date

2021-09-15

Copyright date

2021

ISSN

1932-8184

eISSN

1937-9234

Language

en

Depositor

Dr Zhengyu Lin. Deposit date: 25 August 2021