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An analysis of energy storage system interaction in a multi objective model predictive control based energy management in DC microgrid
dc.contributor.author | Raveendran Nair, Unnikrishnan |
dc.contributor.author | Costa Castelló, Ramon |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2020-03-17T14:27:34Z |
dc.date.available | 2020-03-17T14:27:34Z |
dc.date.issued | 2019 |
dc.identifier.citation | Raveendran, U.; Costa-Castelló, R. An analysis of energy storage system interaction in a multi objective model predictive control based energy management in DC microgrid. A: IEEE International Conference on Emerging Technologies and Factory Automation. "2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): proceedings: University of Zaragoza, Zaragoza, Spain: 10-13 September, 2019". 2019, p. 739-746. |
dc.identifier.isbn | 978-1-7281-0303-7 |
dc.identifier.uri | http://hdl.handle.net/2117/180252 |
dc.description | © 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 works. |
dc.description.abstract | Non-deterministic generation from renewable sources have resulted in the incorporation energy storage systems in modern grids. Management of energy between different storage elements need to done optimally to ensure efficient operation of the grid. The intraday energy management problem is addressed in this work through an online model predictive control using multi objective optimisation. This work analyses the energy interaction among different storages when penalty weights in a multi objective optimisation problem is varied, in order to find an optimal scenario in terms of weight distribution. Different scenarios are identified and performance indices are proposed to achieve the same. The work also addresses implicitly the objective of minimising rate of degradation batteries. Simulation results are presented to aid in the analysis. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.other | Model predictive control |
dc.subject.other | Energy management |
dc.subject.other | Energy storages system |
dc.subject.other | Eegradation rate |
dc.title | An analysis of energy storage system interaction in a multi objective model predictive control based energy management in DC microgrid |
dc.type | Conference report |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.identifier.doi | 10.1109/ETFA.2019.8869474 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.inspec | Classificació INSPEC::Control theory::Predictive control |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8869474 |
dc.rights.access | Open Access |
local.identifier.drac | 26580557 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/2PE/MDM-2016-0656 |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//DPI2015-69286-C3-2-R/ES/ESTIMACION, DIAGNOSIS Y CONTROL PARA LA MEJORA DE LA EFICIENCIA Y LA VIDA UTIL DE LAS PILAS DE COMBUSTIBLE DE TIPO PEM/ |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/675318/EU/Innovative controls for renewable sources Integration into smart energy systems/INCITE |
dc.relation.projectid | info:eu-repo/grantAgreement/ACC10/RIS3CAT/COMRDI15-1-0036-11 |
local.citation.author | Raveendran, U.; Costa-Castelló, R. |
local.citation.contributor | IEEE International Conference on Emerging Technologies and Factory Automation |
local.citation.publicationName | 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): proceedings: University of Zaragoza, Zaragoza, Spain: 10-13 September, 2019 |
local.citation.startingPage | 739 |
local.citation.endingPage | 746 |