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Optimal Sizing of a Hybrid Energy System Based on Renewable Energy Using Evolutionary Optimization Algorithms

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dc.contributor.authorAmoura, Yahia
dc.contributor.authorFerreira, Ângela P.
dc.contributor.authorLima, José
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2022-04-05T08:34:29Z
dc.date.available2022-04-05T08:34:29Z
dc.date.issued2021
dc.description.abstractThe current trend in energy sustainability and the energy growing demand have given emergence to distributed hybrid energy systems based on renewable energy sources. This study proposes a strategy for the optimal sizing of an autonomous hybrid energy system integrating a photovoltaic park, a wind energy conversion, a diesel group, and a storage system. The problem is formulated as a uni-objective function subjected to economical and technical constraints, combined with evolutionary approaches mainly particle swarm optimization algorithm and genetic algorithm to determine the number of installation elements for a reduced system cost. The computational results have revealed an optimal configuration for the hybrid energy system.pt_PT
dc.description.sponsorshipThis work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope UIDB/05757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAmoura, Yahia; Ferreira, Ângela P.; Lima, José; Pereira, Ana I. (2021). Optimal sizing of a hybrid energy system based on renewable energy using evolutionary optimization algorithms. In Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 153-168. ISBN 978-3-030-91884-2pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_12pt_PT
dc.identifier.isbn978-3-030-91884-2
dc.identifier.urihttp://hdl.handle.net/10198/25336
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRenewable energypt_PT
dc.subjectHybrid energy systempt_PT
dc.subjectOptimal sizingpt_PT
dc.subjectParticle swarm optimisationpt_PT
dc.subjectGenetic algorithmpt_PT
dc.titleOptimal Sizing of a Hybrid Energy System Based on Renewable Energy Using Evolutionary Optimization Algorithmspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.endPage168pt_PT
oaire.citation.startPage153pt_PT
oaire.citation.titleOptimization, learning algorithms and applications: first International Conference, OL2A 2021pt_PT
oaire.citation.volume1488pt_PT
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.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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