MPC Energy Management System For A Grid-Connected Renewable Energy/Battery Hybrid Power Plant
| dc.rights.license | open | en_US |
| hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
| dc.contributor.author | AGUILERA GONZALEZ, Adriana
ORCID: 0000-0003-1166-0648 IDREF: 253127653 | |
| hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
| dc.contributor.author | VECHIU, Ionel
ORCID: 0000-0003-4108-3546 IDREF: 102417741 | |
| hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
| dc.contributor.author | LOPEZ RODRIGUEZ, Ruben | |
| dc.contributor.author | BACHA, Seddik | |
| dc.date.accessioned | 2023-05-23T14:05:45Z | |
| dc.date.available | 2023-05-23T14:05:45Z | |
| dc.date.issued | 2018-12-10 | |
| dc.date.conference | 2018-10-14 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/182271 | |
| dc.description.abstractEn | In this paper, an energy management system (EMS) based on model predictive control (MPC) and quadratic programming (QP) is presented. The control strategy manages the power performance of an island grid-connected hybrid plant combining a wind energy conversion system (WECS) and a Li-ION battery energy storage system (BESS). The hybrid plant should inject power into the grid continuously, subject to a commitment band previously fixed. For this, the proposed EMS handles the battery's charge/discharge cycles and state-of-charge (SoC) efficiently, to maintain the generation engagements while considering the BESS lifespan. The energy management system is tested via Matlab/Simulink software by using real wind data. | |
| dc.language.iso | EN | en_US |
| dc.subject.en | Energy management system | |
| dc.subject.en | Li-ION battery | |
| dc.subject.en | wind turbine | |
| dc.subject.en | model predictive control | |
| dc.subject.en | renewable energies. | |
| dc.title.en | MPC Energy Management System For A Grid-Connected Renewable Energy/Battery Hybrid Power Plant | |
| dc.type | Communication dans un congrès | en_US |
| dc.identifier.doi | 10.1109/ICRERA.2018.8566710 | en_US |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Automatique / Robotique | en_US |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Energie électrique | en_US |
| bordeaux.hal.laboratories | ESTIA - Recherche | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | Bordeaux INP | en_US |
| bordeaux.institution | Bordeaux Sciences Agro | en_US |
| bordeaux.conference.title | International Conference on Renewable Energy Research and Applications- ICRERA 2018 | en_US |
| bordeaux.country | fr | en_US |
| bordeaux.title.proceeding | 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) | en_US |
| bordeaux.conference.city | Paris | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.import.source | hal | |
| hal.identifier | hal-01921777 | |
| hal.version | 1 | |
| hal.export | false | |
| workflow.import.source | hal | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2018-12-10&rft.au=AGUILERA%20GONZALEZ,%20Adriana&VECHIU,%20Ionel&LOPEZ%20RODRIGUEZ,%20Ruben&BACHA,%20Seddik&rft.genre=unknown |
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