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dc.contributor.authorVivas Fernández, Francisco José 
dc.contributor.authorSegura Manzano, Francisca 
dc.contributor.authorAndújar Márquez, José Manuel 
dc.contributor.authorPalacio, Adriana
dc.date.accessioned2020-10-16T07:05:01Z
dc.date.available2020-10-16T07:05:01Z
dc.date.issued2020-06
dc.identifier.citationVivas Fernández, F. J., Segura Manzano, F., Andújar Márquez, J. M. ... Palacio, A. (2020). Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System. Electronics, 9(7), 1074. DOI: https://doi.org/10.3390/electronics9071074es_ES
dc.identifier.issn2079-9292
dc.identifier.urihttp://hdl.handle.net/10272/18918
dc.description.abstractThis paper proposes a fuzzy logic-based energy management system (EMS) for microgrids with a combined battery and hydrogen energy storage system (ESS), which ensures the power balance according to the load demand at the time that it takes into account the improvement of the microgrid performance from a technical and economic point of view. As is known, renewable energy-based microgrids are receiving increasing interest in the research community, since they play a key role in the challenge of designing the next energy transition model. The integration of ESSs allows the absorption of the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficient and the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedom degrees increase and this allows, among other things, diminishment of the ESS size. Planning the operation of renewable sources-based microgrids requires both an efficient dispatching management between the available and the demanded energy and a reliable forecasting tool. The developed EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding other controllers: It is not necessary to know the model of the plant, and the linguistic rules that make up its inference engine are easily interpretable. These rules can incorporate expert knowledge, which simplifies the microgrid management, generally complex. The developed EMS has been subjected to a stress test that has demonstrated its excellent behavior. For that, a residential-type profile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition to responding to the required load demand, can meet both technical (to prolong the devices’ lifespan) and economic (seeking the highest profitability and efficiency) established criteria, which can be introduced by the expert depending on the microgrid characteristic and profile demand to accomplish.es_ES
dc.description.sponsorshipThis research was funded by “Configuration and management of micro-grid based on renewable energy and hydrogen technology (H2SMART-μ GRID)” Spanish Government, grant Ref: PI2017-85540-R.
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.isversionofPublisher’s versión
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherEnergy management systemes_ES
dc.subject.otherFuzzy logic controlleres_ES
dc.subject.otherRenewable source-based microgrides_ES
dc.subject.otherBattery and hydrogen energy storage systemes_ES
dc.titleMulti-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage Systemes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.3390/electronics9071074
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/"Configuration and management of micro-grid based on renewable energy and hydrogen technology (H2SMART-GRID)" Spanish Government [DPI2017-85540-R]


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