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dc.contributor.author | Roldán-Blay, Carlos | es_ES |
dc.contributor.author | Roldán-Porta, Carlos | es_ES |
dc.contributor.author | Quiles Cucarella, Eduardo | es_ES |
dc.contributor.author | Escrivá-Escrivá, Guillermo | es_ES |
dc.date.accessioned | 2022-05-24T18:04:46Z | |
dc.date.available | 2022-05-24T18:04:46Z | |
dc.date.issued | 2021-12 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/182861 | |
dc.description.abstract | [EN] In reliability studies of isolated energy supply systems for residential buildings, supply failures due to insufficient generation are generally analysed. Recent studies conclude that this kind of analysis makes it possible to optimally design the sizes of the elements of the generation system. However, in isolated communities or rural areas, it is common to find groups of dwellings in which micro-renewable sources, such as photovoltaic (PV) systems, can be installed. In this situation, the generation and storage of several houses can be considered as an interconnected system forming a cooperative microgrid (CoMG). This work analyses the benefits that sharing two autonomous installations can bring to each one, from the point of view of reliability. The method consists of the application of a random sequential Monte Carlo (SMC) simulation to the CoMG to evaluate the impact of a simple cooperative strategy on the reliability of the set. The study considers random failures in the generation systems. The results show that the reliability of the system increases when cooperation is allowed. Additionally, at the design stage, this allows more cost-effective solutions than single sizing with a similar level of reliability. | es_ES |
dc.description.sponsorship | This work was supported by Conselleria de Educacion, Investigacion, Cultura y Deporte (Grant No. AICO/2019/001). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Applied Sciences | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Microgrid | es_ES |
dc.subject | Cooperation | es_ES |
dc.subject | Energy | es_ES |
dc.subject | Reliability | es_ES |
dc.subject | Monte Carlo | es_ES |
dc.subject | Smart energy control | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.subject.classification | INGENIERIA ELECTRICA | es_ES |
dc.title | Smart Cooperative Energy Supply Strategy to Increase Reliability in Residential Stand-Alone Photovoltaic Systems | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/app112411723 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2019%2F001//ESTUDIO PARA LA OPTIMIZACION DEL MODELO DE LAS PLANTAS DE GENERACION VIRTUAL EN LA COMUNITAT VALENCIANA/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica | es_ES |
dc.description.bibliographicCitation | Roldán-Blay, C.; Roldán-Porta, C.; Quiles Cucarella, E.; Escrivá-Escrivá, G. (2021). Smart Cooperative Energy Supply Strategy to Increase Reliability in Residential Stand-Alone Photovoltaic Systems. Applied Sciences. 11(24):1-19. https://doi.org/10.3390/app112411723 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/app112411723 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 19 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 11 | es_ES |
dc.description.issue | 24 | es_ES |
dc.identifier.eissn | 2076-3417 | es_ES |
dc.relation.pasarela | S\451866 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.subject.ods | 07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos | es_ES |