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dc.creatorBerrueta Irigoyen, Albertoes_ES
dc.creatorSoto Cabria, Adriánes_ES
dc.creatorGarcía Solano, Migueles_ES
dc.creatorParra Laita, Íñigo de laes_ES
dc.creatorSanchis Gúrpide, Pabloes_ES
dc.creatorUrsúa Rubio, Alfredoes_ES
dc.identifier.citationA. Berrueta, A. Soto, M. García, Í. de la Parra, P. Sanchis and A. Ursúa, 'Critical comparison of energy management algorithms for lithium-ion batteries in renewable power plants,' 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Genova, Italy, 2019, pp. 1-6.en
dc.description.abstractLithium-ion batteries are gaining importance for a variety of applications due to their price decrease and characteristics improvement. A good energy management strategy is required in order to increase the profitability of an energy system using a Li-ion battery for storage. The vast number of management algorithms that has been proposed to optimize the achieved profit, with diverse computational power requirements and using models with different complexity, raise doubts about the suitability of an algorithm and the required computation power for a particular application. The performance of three energy management algorithms based on linear, quadratic, and dynamic programming are compared in this work. A realistic scenario of a medium-sized PV plant with a constraint of peak shaving is used for this comparison. The results achieved by the three algorithms are compared and the grounds of the differences are analyzed. Among the three compared algorithms, the quadratic one seems to be the most suitable for renewableenergy applications, given the undue simplification of the battery aging required by the linear algorithm and the discretization and computational power required by a dynamic algorithm.en
dc.description.sponsorshipThe authors would like to acknowledge the support of the Spanish State Research Agency (AEI) and FEDER–UE under grants DPI2016-80641-R and DPI2016-80642-R and of Government of Navarra through research projects PI020 RENEWABLE-STORAGE and 0011-1411-2018-000029 GERA.en
dc.format.extent7 p.
dc.relation.ispartofProceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019, June 2019, Article number 8783864en
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.en
dc.subjectLithium-ion batteryen
dc.subjectEnergy managementen
dc.subjectRenewable energyen
dc.titleCritical comparison of energy management algorithms for lithium-ion batteries in renewable power plantsen
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCes_ES
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes

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