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...
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MDPI AG
2021-08-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/14/16/5026 |
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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 |
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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 |