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Multi-objective optimal sizing of an AC/DC grid connected microgrid system

2024Conference paper Open access
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dc.contributor.authorAmoura, Yahia
dc.contributor.authorPedroso, André
dc.contributor.authorFerreira, Ângela P.
dc.contributor.authorLima, José
dc.contributor.authorTorres, Santiago
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2024-05-21T13:59:47Z
dc.date.available2024-05-21T13:59:47Z
dc.date.issued2024
dc.description.abstractConsidering the rising energy needs and the depletion of conventional energy sources, microgrid systems combining wind energy and solar photovoltaic power with diesel generators are promising and considered economically viable for usage. To evaluate system cost and dependability, optimizing the size of microgrid system elements, including energy storage systems connected with the principal network, is crucial. In this line, a study has already been performed using a uni-objective optimization approach for the techno-economic sizing of a microgrid. It was noted that, despite the economic criterion, the environmental criterion can have a considerable impact on the elements constructing the microgrid system. In this paper, two multi-objective optimization approaches are proposed, including a non-dominated sorting genetic algorithm (NSGA-II) and the Pareto Search algorithm (PS) for the eco-environmental design of a microgrid system. The k-means clustering of the non-dominated point on the Pareto front has delivered three categories of scenarios: best economic, best environmental, and trade-off. Energy management, considering the three cases, has been applied to the microgrid over a period of 24 h to evaluate the impact of system design on the energy production system’s behavior.pt_PT
dc.description.sponsorshipThis work has been supported by FCT - Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/05757/2020, UIDP/05757/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAmoura, Yahia; Pedroso, André; Ferreira, Ângela P.; Lima, José; Torres, Santiago; Pereira, Ana I. (2024). Multi-objective optimal sizing of an AC/DC grid connected microgrid system. In Third International Conference, OL2A 2023. Ponta Delgada, Portugal. p. 326-342. ISBN 978-3-031-53035-7pt_PT
dc.identifier.doi10.1007/978-3-031-53036-4_23pt_PT
dc.identifier.isbn978-303153035-7
dc.identifier.issn1865-0929
dc.identifier.urihttp://hdl.handle.net/10198/29790
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectClusteringpt_PT
dc.subjectMicrogridpt_PT
dc.subjectOptimizationpt_PT
dc.subjectRenewable energypt_PT
dc.subjectSizingpt_PT
dc.titleMulti-objective optimal sizing of an AC/DC grid connected microgrid systempt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.conferencePlacePonta Delgada, Portugal,pt_PT
oaire.citation.endPage342pt_PT
oaire.citation.startPage326pt_PT
oaire.citation.titleThird International Conference, OL2A 2023pt_PT
oaire.citation.volume1982pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAmoura
person.familyNameFerreira
person.familyNameLima
person.familyNamePereira
person.givenNameYahia
person.givenNameÂngela P.
person.givenNameJosé
person.givenNameAna I.
person.identifierR-000-8GD
person.identifier.ciencia-id1C1C-915D-DB4E
person.identifier.ciencia-id2211-6787-D936
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0002-8811-0823
person.identifier.orcid0000-0002-1912-2556
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridM-8188-2013
person.identifier.ridL-3370-2014
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id55516840300
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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