Afficher la notice abrégée

dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorHERNANDO GIL, Ignacio
ORCID: 0000-0002-6868-0685
IDREF: 257382976
dc.contributor.authorPRODANOVIC, Milan
dc.contributor.authorHAYES, Barry
dc.contributor.authorDJOKIC, Sasa
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorSARWAR, Fahad Ali
dc.contributor.authorYAMASHITA, Daniela Yassuda
dc.date.accessioned2023-04-05T08:06:45Z
dc.date.available2023-04-05T08:06:45Z
dc.date.issued2022-10
dc.date.conference2022-10-10
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172752
dc.description.abstractEnFuture networks will incorporate a combination of microgrids and different types of renewable-based distributed energy resources (DERs), allowing them to provide ancillary services in grid-connected mode and, if necessary, operate in an islanded mode to increase network proactivity, continuity of supply, reliability, and resilience. Also, energy storage has become a critical issue in microgrid and residential building applications due to varying limitations such as capacity-loss over time and aging. This panel covers all types of smart solutions that exploit microgrid optimisation under uncertainty, new probabilistic methods for managing microgrid energy management systems, including Hydrogen (H2) as one of the key energy vectors for long-term storage. A sub-topic considers innovative approaches to the analytical and simulation techniques for assessing the optimal operation and control of microgrids and DERs, while dispatching different ancillary services for the grid in a reliable and economical manner. The panel insight will also extend to self-optimizing control solutions of building microgrids for the integration in net-zero energy buildings, as well as electric mobility (vehicle-to-grid, V2G, or boat-to-grid, B2G) within maritime, island microgrids, or integrated port energy systems. The scope includes the predictive maintenance and fault detection capabilities in hybrid (grid-connected and islanded) microgrids to ensure a smooth operation and maximize self-consumption of renewable energy intermittency through predictive control, artificial intelligence, machine learning and/or novel forecasting techniques.
dc.language.isoENen_US
dc.publisherIEEEen_US
dc.title.enPanel Session - Control and Optimization of Microgrids with Hybrid & Hydrogen Energy Storage Systems: Challenges and Solutions
dc.title.enQuality of Supply and Uncertainty: Risk and Reliability Implications from DERs and Hybrid Microgrids
dc.typeAutre communication scientifique (congrès sans actes - poster - séminaire...)en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
dc.subject.halSciences de l'environnement/Ingénierie de l'environnementen_US
dc.subject.halSciences de l'ingénieur [physics]/Automatique / Robotiqueen_US
dc.subject.halSciences de l'ingénieur [physics]/Electromagnétismeen_US
dc.subject.halSciences de l'ingénieur [physics]/Energie électriqueen_US
dc.subject.halSciences de l'ingénieur [physics]/Electroniqueen_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.title2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)en_US
bordeaux.countryrsen_US
bordeaux.conference.cityNovi Saden_US
bordeaux.peerReviewedouien_US
bordeaux.import.sourcehal
hal.identifierhal-03952772
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2022-10&rft.au=HERNANDO%20GIL,%20Ignacio&PRODANOVIC,%20Milan&HAYES,%20Barry&DJOKIC,%20Sasa&SARWAR,%20Fahad%20Ali&rft.genre=conference


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée