Reliability assessment of island multi‐energy microgrids

Abstract Multi‐energy microgrids could result in more flexibility and increase reliability by interconnecting networks. Electricity and gas networks exhibit very different dynamic behaviours in response to a fault or failure. Gas networks have built‐in energy storages that can continue to provide a...

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Autores principales: Marcos Santos, Da Huo, Neal Wade, David Greenwood, Ilias Sarantakos
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Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/faaa9f99cf9b43a585cea8c248049e4e
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spelling oai:doaj.org-article:faaa9f99cf9b43a585cea8c248049e4e2021-11-22T16:30:09ZReliability assessment of island multi‐energy microgrids2634-158110.1049/enc2.12040https://doaj.org/article/faaa9f99cf9b43a585cea8c248049e4e2021-09-01T00:00:00Zhttps://doi.org/10.1049/enc2.12040https://doaj.org/toc/2634-1581Abstract Multi‐energy microgrids could result in more flexibility and increase reliability by interconnecting networks. Electricity and gas networks exhibit very different dynamic behaviours in response to a fault or failure. Gas networks have built‐in energy storages that can continue to provide a reliable supply if gas inputs to the system are compromised. This study presents a novel reliability assessment method applied to multi‐energy microgrids; the method combines an incidence matrix analysis that identifies the connectivity between sources and load points with a sequential Monte Carlo simulation and generation adequacy evaluation. A case study is conducted by using an electricity‐gas microgrid. The electricity network is a multi‐sourced grid, whereas the gas network is supplied by a biogas plant. The linepack (gas stored along the pipelines) is modelled to account for the slower gas dynamics. The proposed method is evaluated on a real‐world electricity distribution network in Austria. The results indicate the reliability benefits of forming a multi‐energy microgrid.Marcos SantosDa HuoNeal WadeDavid GreenwoodIlias SarantakosWileyarticleincidence matrixlinepackMonte Carlo simulationmulti‐energy microgrids systemsreliability assessmentEnergy industries. Energy policy. Fuel tradeHD9502-9502.5Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENEnergy Conversion and Economics, Vol 2, Iss 3, Pp 169-182 (2021)
institution DOAJ
collection DOAJ
language EN
topic incidence matrix
linepack
Monte Carlo simulation
multi‐energy microgrids systems
reliability assessment
Energy industries. Energy policy. Fuel trade
HD9502-9502.5
Production of electric energy or power. Powerplants. Central stations
TK1001-1841
spellingShingle incidence matrix
linepack
Monte Carlo simulation
multi‐energy microgrids systems
reliability assessment
Energy industries. Energy policy. Fuel trade
HD9502-9502.5
Production of electric energy or power. Powerplants. Central stations
TK1001-1841
Marcos Santos
Da Huo
Neal Wade
David Greenwood
Ilias Sarantakos
Reliability assessment of island multi‐energy microgrids
description Abstract Multi‐energy microgrids could result in more flexibility and increase reliability by interconnecting networks. Electricity and gas networks exhibit very different dynamic behaviours in response to a fault or failure. Gas networks have built‐in energy storages that can continue to provide a reliable supply if gas inputs to the system are compromised. This study presents a novel reliability assessment method applied to multi‐energy microgrids; the method combines an incidence matrix analysis that identifies the connectivity between sources and load points with a sequential Monte Carlo simulation and generation adequacy evaluation. A case study is conducted by using an electricity‐gas microgrid. The electricity network is a multi‐sourced grid, whereas the gas network is supplied by a biogas plant. The linepack (gas stored along the pipelines) is modelled to account for the slower gas dynamics. The proposed method is evaluated on a real‐world electricity distribution network in Austria. The results indicate the reliability benefits of forming a multi‐energy microgrid.
format article
author Marcos Santos
Da Huo
Neal Wade
David Greenwood
Ilias Sarantakos
author_facet Marcos Santos
Da Huo
Neal Wade
David Greenwood
Ilias Sarantakos
author_sort Marcos Santos
title Reliability assessment of island multi‐energy microgrids
title_short Reliability assessment of island multi‐energy microgrids
title_full Reliability assessment of island multi‐energy microgrids
title_fullStr Reliability assessment of island multi‐energy microgrids
title_full_unstemmed Reliability assessment of island multi‐energy microgrids
title_sort reliability assessment of island multi‐energy microgrids
publisher Wiley
publishDate 2021
url https://doaj.org/article/faaa9f99cf9b43a585cea8c248049e4e
work_keys_str_mv AT marcossantos reliabilityassessmentofislandmultienergymicrogrids
AT dahuo reliabilityassessmentofislandmultienergymicrogrids
AT nealwade reliabilityassessmentofislandmultienergymicrogrids
AT davidgreenwood reliabilityassessmentofislandmultienergymicrogrids
AT iliassarantakos reliabilityassessmentofislandmultienergymicrogrids
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