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An innovative optimization approach for energy management of a microgrid system

2023Conference paper Open 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.contributor.authorTorres, Santiago
dc.date.accessioned2024-01-09T09:59:47Z
dc.date.available2024-01-09T09:59:47Z
dc.date.issued2023
dc.description.abstractThe local association of electrical generator including renewable energies and storage technologies approximately installed to the client made way for a small-scale power grid called a microgrid. In certain cases, the random nature of renewable energy sources, combined with the variable pattern of demand, results in issues concerning the sustainability and reliability of the microgrid system. Furthermore, the cost of the energy coming from conventional sources is considering as matter to the private consumer due to its high fees. An improved methodology combining the simplex-based linear programming with the particle swarm optimisation approach is employed to implement an integrated power management system. The energy scheduling is done by assuming the consumption profile of a smart city. two scenarios of energy management have been suggested to illustrate the behaviour of cost and gas emissions for an optimised energy management. The results showed the reliability of the energy management system using an improvemed approach in scheduling of the energy flows for the microgrid producers, limiting the utility’s cost versus an experiment that had already been done for a similar system using the identical data. The outcome of the computation identified the ideal set points of the power generators in a smart city supplied by a microgrid, while guaranteeing the comfort of the customers i.e without intermetency in the supply, also, reducing the emissions of greenhouse gases and providing an optimal exploitation cost for all smart city users. Morover, the proposed energy management system gave an inverse relation between economic and environmental aspects, in fact, a multi-objective optimization approach is performed as a continuation of the work proposed in this paperpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAmoura, Yahia; Pereira, Ana I.; Lima, José; Ferreira, Ângela P.; Boukli-Hacene, Fouad; Torres, Santiago (2023). An innovative optimization approach for energy management of a microgrid system. In 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 19-21 July 2023, Tenerife. p. 1-9. ISBN 979-8-3503-2297-2pt_PT
dc.identifier.doi10.1109/ICECCME57830.2023.10252266pt_PT
dc.identifier.isbn979-8-3503-2297-2
dc.identifier.urihttp://hdl.handle.net/10198/29134
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEnergy management systempt_PT
dc.subjectParticle swarm optimisationpt_PT
dc.subjectLinear programmingpt_PT
dc.subjectMicrogridpt_PT
dc.subjectSmart sustainable citiespt_PT
dc.titleAn innovative optimization approach for energy management of a microgrid systempt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage9pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)pt_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.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
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relation.isAuthorOfPublication.latestForDiscoverye9981d62-2a2b-4fef-b75e-c2a14b0e7846

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