Optimising Energy Management in Hybrid Microgrids
dc.contributor.author | Bilbao Landatxe, Javier | |
dc.contributor.author | Bravo Sevilla, Eugenio ![]() | |
dc.contributor.author | Garcia Zabalbeitia, Maria Olatz ![]() | |
dc.contributor.author | Rebollar Echevarría, Carolina ![]() | |
dc.contributor.author | Varela Lezeta, María Concepción ![]() | |
dc.date.accessioned | 2022-01-21T13:04:15Z | |
dc.date.available | 2022-01-21T13:04:15Z | |
dc.date.issued | 2022-01-11 | |
dc.identifier.citation | Mathematics 10(2) : (2022) // Article ID 214 | es_ES |
dc.identifier.issn | 2227-7390 | |
dc.identifier.uri | http://hdl.handle.net/10810/55107 | |
dc.description.abstract | This article deals with the optimization of the operation of hybrid microgrids. Both the problem of controlling the management of load sharing between the different generators and energy storage and possible solutions for the integration of the microgrid into the electricity market will be discussed. Solar and wind energy as well as hybrid storage with hydrogen, as renewable sources, will be considered, which allows management of the energy balance on different time scales. The Machine Learning method of Decision Trees, combined with ensemble methods, will also be introduced to study the optimization of microgrids. The conclusions obtained indicate that the development of suitable controllers can facilitate a competitive participation of renewable energies and the integration of microgrids in the electricity system. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | hybrid microgrids | es_ES |
dc.subject | renewable energies | es_ES |
dc.subject | energy management | es_ES |
dc.subject | electricity system | es_ES |
dc.title | Optimising Energy Management in Hybrid Microgrids | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2022-01-20T15:24:45Z | |
dc.rights.holder | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2227-7390/10/2/214/htm | es_ES |
dc.identifier.doi | 10.3390/math10020214 | |
dc.departamentoes | Matemática aplicada | |
dc.departamentoeu | Matematika aplikatua |
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Except where otherwise noted, this item's license is described as 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).