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Distributionally Robust Hydrogen Optimization with Ensured Security and Multi-Energy Couplings

dc.rights.licenseopenen_US
dc.contributor.authorZHAO, Pengfei
dc.contributor.authorGU, Chenghong
dc.contributor.authorHU, Zechun
dc.contributor.authorXIE, Da
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorHERNANDO GIL, Ignacio
ORCID: 0000-0002-6868-0685
IDREF: 257382976
dc.contributor.authorSHEN, Yichen
dc.date.accessioned2023-04-05T14:52:12Z
dc.date.available2023-04-05T14:52:12Z
dc.date.issued2021-01-01
dc.identifier.issn0885-8950en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172811
dc.description.abstractEnPower-to-gas (P2G) can convert excessive renewable energy into hydrogen via electrolysis, which can then be transported by natural gas systems to bypass constrained electricity systems. However, the injection of hydrogen could impact gas quality since gas composition fundamentally changes, adversely effecting the combustion, safety and lifespan of appliances. This paper develops a new gas quality management scheme for hydrogen injection into natural gas systems produced from excessive wind power. It introduces four gas quality indices for the integrated electricity and gas system (IEGS) measuring gas quality, considering the coordinated operation of tightly coupled infrastructures. To maintain gas quality under an acceptable range, the gas mixture of nitrogen and liquid petroleum gas with hydrogen is adopted to address the gas quality violation caused by hydrogen injection. A distributionally robust optimization (DRO) modelled by Kullback-Leibler (KL) divergence-based ambiguity set is applied to flexibly control the robustness to capture wind uncertainty. Case studies demonstrate that wind power is maximally utilized and gas mixture is effectively managed, thus improving both gas quality and performance of IEGS. The work can benefit system operators with i) ensured gas quality under hydrogen injection ii) low system operation cost and iii) high renewable energy penetration
dc.language.isoENen_US
dc.subject.enDistributionally robust optimization
dc.subject.engas security management
dc.subject.enintegrated electricity and gas system
dc.subject.enintegrated energy system
dc.subject.enpower-to-gas
dc.subject.enrenewable uncertainty
dc.title.enDistributionally Robust Hydrogen Optimization with Ensured Security and Multi-Energy Couplings
dc.typeArticle de revueen_US
dc.identifier.doi10.1109/TPWRS.2020.3005991en_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]/Electroniqueen_US
dc.subject.halSciences de l'ingénieur [physics]/Energie électriqueen_US
bordeaux.journalIEEE Transactions on Power Systemsen_US
bordeaux.page504 - 513en_US
bordeaux.volume36en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-02966922
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.jtitle=IEEE%20Transactions%20on%20Power%20Systems&rft.date=2021-01-01&rft.volume=36&rft.issue=1&rft.spage=504%20-%20513&rft.epage=504%20-%20513&rft.eissn=0885-8950&rft.issn=0885-8950&rft.au=ZHAO,%20Pengfei&GU,%20Chenghong&HU,%20Zechun&XIE,%20Da&HERNANDO%20GIL,%20Ignacio&rft.genre=article


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