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Optimal energy management of microgrid using multi-objective optimisation approach

2023Conference paper Restricted access
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dc.contributor.authorAmoura, Yahia
dc.contributor.authorPereira, Ana I.
dc.contributor.authorLima, José
dc.contributor.authorFerreira, Ângela P.
dc.contributor.authorBoukli-Hacene, Fouad
dc.date.accessioned2023-03-20T15:43:25Z
dc.date.available2023-03-20T15:43:25Z
dc.date.issued2023
dc.description.abstractThe use of several distributed generators as well as the energy storage system in a local microgrid require an energy management system to maximize system efficiency, by managing generation and loads. The main purpose of this work is to find the optimal set-points of distributed generators and storage devices of a microgrid, minimizing simultaneously the energy costs and the greenhouse gas emissions. A multi-objective approach called Pareto-search Algorithm based on direct multi-search is proposed to ensure optimal management of the microgrid. According to the non-dominated resulting points, several scenarios are proposed and compared. The effectiveness of the algorithm is validated, giving a compromised choice between two criteria: energy cost and GHG emissions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAmoura, Yahia; Pereira, Ana I.; Lima, José: Ferreira, Ângela P.; Boukli Hacene, Fouad (2023). Optimal energy management of microgrid using multi-objective optimisation approach. In 16 International Conference Learning and Intelligen Optimization. Lionpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27868
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMicrogridpt_PT
dc.subjectPower managementpt_PT
dc.subjectEnergy management systempt_PT
dc.subjectMulti-objective optimisationpt_PT
dc.subjectPareto-search algorithmpt_PT
dc.titleOptimal energy management of microgrid using multi-objective optimisation approachpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceLionpt_PT
oaire.citation.title16 International Conference Learning and Intelligen Optimizationpt_PT
person.familyNameAmoura
person.familyNamePereira
person.familyNameLima
person.familyNameFerreira
person.givenNameYahia
person.givenNameAna I.
person.givenNameJosé
person.givenNameÂngela P.
person.identifierR-000-8GD
person.identifier.ciencia-id1C1C-915D-DB4E
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id2211-6787-D936
person.identifier.orcid0000-0002-8811-0823
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0002-1912-2556
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.ridM-8188-2013
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id55516840300
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication653c4356-dd18-4680-9774-da86a446d0e5
relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
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relation.isAuthorOfPublication3fec941d-79fb-4901-918d-a34ffa0195cc
relation.isAuthorOfPublication.latestForDiscoverye9981d62-2a2b-4fef-b75e-c2a14b0e7846

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