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Optimal Generation Scheduling with Dynamic Profiles for the Sustainable Development of Electricity Grids

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Optimal Generation Scheduling with Dynamic Profiles for the Sustainable Development of Electricity Grids

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dc.contributor.author Roldán-Blay, Carlos es_ES
dc.contributor.author Miranda, Vladimiro es_ES
dc.contributor.author Carvalho, Leonel es_ES
dc.contributor.author Roldán-Porta, Carlos es_ES
dc.date.accessioned 2020-04-17T12:47:30Z
dc.date.available 2020-04-17T12:47:30Z
dc.date.issued 2019-12-02 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140821
dc.description.abstract [EN] The integration of renewable generation in electricity networks is one of the most widespread strategies to improve sustainability and to deal with the energy supply problem. Typically, the reinforcement of the generation fleet of an existing network requires the assessment and minimization of the installation and operating costs of all the energy resources in the network. Such analyses are usually conducted using peak demand and generation data. This paper proposes a method to optimize the location and size of different types of generation resources in a network, taking into account the typical evolution of demand and generation. The importance of considering this evolution is analyzed and the methodology is applied to two standard networks, namely the Institute of Electrical and Electronics Engineers (IEEE) 30-bus and the IEEE 118-bus. The proposed algorithm is based on the use of particle swarm optimization (PSO). In addition, the use of an initialization process based on the cross entropy (CE) method to accelerate convergence in problems of high computational cost is explored. The results of the case studies highlight the importance of considering dynamic demand and generation profiles to reach an effective integration of renewable resources (RRs) towards a sustainable development of electric systems. es_ES
dc.description.sponsorship The stay of the corresponding author that made this research possible was funded by a grant "Jose Castillejo" number CAS18/00291 of the Spanish Ministerio de Educacion, Cultura y Deporte. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sustainability es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Microgrid planning es_ES
dc.subject Optimal generation sizing es_ES
dc.subject Optimal generation location es_ES
dc.subject Sustainable generation es_ES
dc.subject Particle swarm optimization es_ES
dc.subject Cross entropy es_ES
dc.subject Sustainable development es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Optimal Generation Scheduling with Dynamic Profiles for the Sustainable Development of Electricity Grids es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/su11247111 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//CAS18%2F00291/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//ENE2013-48574-C2-1-P/ES/HERRAMIENTAS DE ANALISIS PARA LA EVALUACION Y GESTION DE LA PARTICIPACION DE LA RESPUESTA DE LA DEMANDA EN LA PROVISION DE SERVICIOS COMPLEMENTARIOS EN SISTEMAS ELECTRICOS/ 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.description.bibliographicCitation Roldán-Blay, C.; Miranda, V.; Carvalho, L.; Roldán-Porta, C. (2019). Optimal Generation Scheduling with Dynamic Profiles for the Sustainable Development of Electricity Grids. Sustainability. 11(24):1-26. https://doi.org/10.3390/su11247111 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/su11247111 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 26 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 2071-1050 es_ES
dc.relation.pasarela S\402177 es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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dc.subject.ods 07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos es_ES
dc.subject.ods 12.- Garantizar las pautas de consumo y de producción sostenibles es_ES


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