Autonomous observer of hydrogen storage to enhance a model predictive control structure for building microgrids
| dc.rights.license | open | en_US |
| hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
| dc.contributor.author | YAMASHITA, Daniela Yassuda | |
| hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
| dc.contributor.author | VECHIU, Ionel
ORCID: 0000-0003-4108-3546 IDREF: 102417741 | |
| dc.contributor.author | GAUBERT, Jean Paul | |
| hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
| dc.contributor.author | JUPIN, Samuel
ORCID: 0000-0002-1441-5499 | |
| dc.date.accessioned | 2023-04-04T08:39:23Z | |
| dc.date.available | 2023-04-04T08:39:23Z | |
| dc.date.issued | 2022-09 | |
| dc.identifier.issn | 2352-152X | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/172706 | |
| dc.description.abstractEn | Hydrogen energy storage has emerged as a promising technology to improve the integration of renewable energy sources in building microgrids. However, inaccuracies in the modelling of fuel cells and electrolysers reduce the performance of building microgrids' energy management system. To improve the flexibility of building microgrids, this paper proposes to associate a two-level hierarchical model predictive controller empowered with an Autonomous Observer of Hydrogen Storage (AOHS). This novel observer evaluates the hydrogen production and consumption rates, storing little past data and needing no tuning of the parameters. Relying only on instantaneous data measurement, the algorithm can estimate the tank's level of hydrogen with an average relative error inferior to 2 %, even under measurement noise. A case-study based on a building microgrid currently under construction serves as the basis for all simulations. The performance of the AOHS is evaluated by comparing the self-consumption rates of the case-study when governed by two-level energy management system: one level using a fixed parameters model and the other one equipped with the proposed AOHS algorithm. Results show that the microgrid associated to the AOHS has better self-consumption compared to the microgrid with fixed parameters, as well as a better robustness regarding the measurement noise and modelling error. Furthermore, this algorithm demonstrates a planning function as it facilitates the energy planning from the aggregator's point of view and the external grid management. | |
| dc.language.iso | EN | en_US |
| dc.subject.en | Building microgrids | |
| dc.subject.en | Hydrogen storage | |
| dc.subject.en | Self-consumption | |
| dc.subject.en | Autonomous observer | |
| dc.title.en | Autonomous observer of hydrogen storage to enhance a model predictive control structure for building microgrids | |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1016/j.est.2022.105072 | en_US |
| dc.subject.hal | Sciences de l'ingénieur [physics] | en_US |
| bordeaux.journal | Journal of Energy Storage | en_US |
| bordeaux.page | 105072 | en_US |
| bordeaux.volume | 53 | 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.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.import.source | hal | |
| hal.identifier | hal-03897071 | |
| 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.jtitle=Journal%20of%20Energy%20Storage&rft.date=2022-09&rft.volume=53&rft.spage=105072&rft.epage=105072&rft.eissn=2352-152X&rft.issn=2352-152X&rft.au=YAMASHITA,%20Daniela%20Yassuda&VECHIU,%20Ionel&GAUBERT,%20Jean%20Paul&JUPIN,%20Samuel&rft.genre=article |
