dc.creator | García Santacruz, Carlos | es |
dc.creator | Galván García-Pérez, Luis | es |
dc.creator | Carrasco Solís, Juan Manuel | es |
dc.creator | Galván Díez, Eduardo | es |
dc.date.accessioned | 2022-09-23T13:49:57Z | |
dc.date.available | 2022-09-23T13:49:57Z | |
dc.date.issued | 2021-06 | |
dc.identifier.citation | García Santacruz, C., Galván García-Pérez, L., Carrasco Solís, J.M. y Galván Díez, E. (2021). Sizing and Management of Energy Storage Systems in Large-Scale Power Plants Using Price Control and Artificial Intelligence. Energies, 14 (11), 3296. | |
dc.identifier.issn | EISSN 1996-1073 | es |
dc.identifier.uri | https://hdl.handle.net/11441/137337 | |
dc.description.abstract | Energy storage systems are expected to play a fundamental part in the integration of
increasing renewable energy sources into the electric system. They are already used in power plants
for different purposes, such as absorbing the effect of intermittent energy sources or providing
ancillary services. For this reason, it is imperative to research managing and sizing methods that
make power plants with storage viable and profitable projects. In this paper, a managing method
is presented, where particle swarm optimisation is used to reach maximum profits. This method
is compared to expert systems, proving that the former achieves better results, while respecting
similar rules. The paper further presents a sizing method which uses the previous one to make the
power plant as profitable as possible. Finally, both methods are tested through simulations to show
their potential. | es |
dc.description.sponsorship | Unión Europea Subvención 771066. | es |
dc.format | application/pdf | es |
dc.format.extent | 17 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Energies, 14 (11), 3296. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Batteries | es |
dc.subject | Energy Storage | es |
dc.subject | Particle Swarm Optimisation | es |
dc.subject | Power System Management | es |
dc.subject | Supply and Demand | es |
dc.subject | Arbitrage | es |
dc.subject | Day-ahead Market | es |
dc.title | Sizing and Management of Energy Storage Systems in Large-Scale Power Plants Using Price Control and Artificial Intelligence | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Electrónica | es |
dc.relation.projectID | Subvención 771066 | es |
dc.relation.publisherversion | https://doi.org/10.3390/en14113296 | es |
dc.identifier.doi | 10.3390/en14113296 | es |
dc.journaltitle | Energies | es |
dc.publication.volumen | 14 | es |
dc.publication.issue | 11 | es |
dc.publication.initialPage | 3296 | es |
dc.contributor.funder | European Research Council (ERC) | es |