Differential Evolution-Based Overcurrent Protection for DC Microgrids

DC microgrids have advantages over AC microgrids in terms of system efficiency, cost, and system size. However, a well-designed overcurrent protection approach for DC microgrids remains a challenge. Recognizing this, this paper presents a novel differential evolution (DE) based protection framework...

Full description

Bibliographic Details
Main Authors: Miao Li, Daming Zhang, Shibo Lu, Xiuhui Tang, Toan Phung
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/16/5026
_version_ 1797523968952893440
author Miao Li
Daming Zhang
Shibo Lu
Xiuhui Tang
Toan Phung
author_facet Miao Li
Daming Zhang
Shibo Lu
Xiuhui Tang
Toan Phung
author_sort Miao Li
collection DOAJ
description DC microgrids have advantages over AC microgrids in terms of system efficiency, cost, and system size. However, a well-designed overcurrent protection approach for DC microgrids remains a challenge. Recognizing this, this paper presents a novel differential evolution (DE) based protection framework for DC microgrids. First, a simplified DC microgrid model is adopted to provide the analytical basis of the DE algorithm. The simplified model does not sacrifice performance criterion in steady-state simulation, which is verified through extensive simulation studies. A DE-based novel overcurrent protection scheme is then proposed to protect the DC microgrid. This DE method provides an innovative way to calculate the maximum line current, which can be used for the overcurrent protection threshold setting and the relay coordination time setting. The detailed load condition and solar irradiance for each bus can be obtained by proposed DE-based method. Finally, extensive case studies involving faults at different locations are performed to validate the proposed strategy’s effectiveness. The expandability of the proposed DE-based overcurrent protection framework has been confirmed by further case studies in seven bus mesh systems.
first_indexed 2024-03-10T08:50:41Z
format Article
id doaj.art-67dcd52b88c141d880142335ca677c6c
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-03-10T08:50:41Z
publishDate 2021-08-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-67dcd52b88c141d880142335ca677c6c2023-11-22T07:30:50ZengMDPI AGEnergies1996-10732021-08-011416502610.3390/en14165026Differential Evolution-Based Overcurrent Protection for DC MicrogridsMiao Li0Daming Zhang1Shibo Lu2Xiuhui Tang3Toan Phung4School of Electrical Engineering and Telecommunications, University of New South Wales, Kensington, NSW 2052, AustraliaSchool of Electrical Engineering and Telecommunications, University of New South Wales, Kensington, NSW 2052, AustraliaSchool of Electrical Engineering and Telecommunications, University of New South Wales, Kensington, NSW 2052, AustraliaSchool of Electrical Engineering and Telecommunications, University of New South Wales, Kensington, NSW 2052, AustraliaSchool of Electrical Engineering and Telecommunications, University of New South Wales, Kensington, NSW 2052, AustraliaDC microgrids have advantages over AC microgrids in terms of system efficiency, cost, and system size. However, a well-designed overcurrent protection approach for DC microgrids remains a challenge. Recognizing this, this paper presents a novel differential evolution (DE) based protection framework for DC microgrids. First, a simplified DC microgrid model is adopted to provide the analytical basis of the DE algorithm. The simplified model does not sacrifice performance criterion in steady-state simulation, which is verified through extensive simulation studies. A DE-based novel overcurrent protection scheme is then proposed to protect the DC microgrid. This DE method provides an innovative way to calculate the maximum line current, which can be used for the overcurrent protection threshold setting and the relay coordination time setting. The detailed load condition and solar irradiance for each bus can be obtained by proposed DE-based method. Finally, extensive case studies involving faults at different locations are performed to validate the proposed strategy’s effectiveness. The expandability of the proposed DE-based overcurrent protection framework has been confirmed by further case studies in seven bus mesh systems.https://www.mdpi.com/1996-1073/14/16/5026differential evolutionDC microgridovercurrent protection
spellingShingle Miao Li
Daming Zhang
Shibo Lu
Xiuhui Tang
Toan Phung
Differential Evolution-Based Overcurrent Protection for DC Microgrids
Energies
differential evolution
DC microgrid
overcurrent protection
title Differential Evolution-Based Overcurrent Protection for DC Microgrids
title_full Differential Evolution-Based Overcurrent Protection for DC Microgrids
title_fullStr Differential Evolution-Based Overcurrent Protection for DC Microgrids
title_full_unstemmed Differential Evolution-Based Overcurrent Protection for DC Microgrids
title_short Differential Evolution-Based Overcurrent Protection for DC Microgrids
title_sort differential evolution based overcurrent protection for dc microgrids
topic differential evolution
DC microgrid
overcurrent protection
url https://www.mdpi.com/1996-1073/14/16/5026
work_keys_str_mv AT miaoli differentialevolutionbasedovercurrentprotectionfordcmicrogrids
AT damingzhang differentialevolutionbasedovercurrentprotectionfordcmicrogrids
AT shibolu differentialevolutionbasedovercurrentprotectionfordcmicrogrids
AT xiuhuitang differentialevolutionbasedovercurrentprotectionfordcmicrogrids
AT toanphung differentialevolutionbasedovercurrentprotectionfordcmicrogrids