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Two-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading

dc.rights.licenseopenen_US
dc.contributor.authorZHAO, Pengfei
dc.contributor.authorLI, Shuangqi
dc.contributor.authorHU, Paul Jen-Hwa
dc.contributor.authorCAO, Zhidong
dc.contributor.authorGU, Chenghong
dc.contributor.authorYAN, Xiaohe
dc.contributor.authorHUO, Da
hal.structure.identifierESTIA - Institute of technology [ESTIA]
dc.contributor.authorHERNANDO GIL, Ignacio
ORCID: 0000-0002-6868-0685
IDREF: 257382976
dc.date.accessioned2023-04-04T08:38:58Z
dc.date.available2023-04-04T08:38:58Z
dc.date.issued2022-08-30
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172705
dc.description.abstractEnEffective utility system management is fundamental and critical for ensuring the normal activities, operations, and services in cities and urban areas. In that regard, the advanced information and communication technologies underpinning smart cities enable close linkages and coordination of different subutility systems, which is now attracting research attention. To increase operational efficiency, we propose a two-stage optimal co-management model for an integrated urban utility system comprised of water, power, gas, and heating systems, namely, integrated water-energy hubs (IWEHs). The proposed IWEH facilitates coordination between multienergy and water sectors via close energy conversion and can enhance the operational efficiency of an integrated urban utility system. In particular, we incorporate social-aware peer-to-peer (P2P) resource trading in the optimization model, in which operators of an IWEH can trade energy and water with other interconnected IWEHs. To cope with renewable generation and load uncertainties and mitigate their negative impacts, a two-stage distributionally robust optimization (DRO) is developed to capture the uncertainties, using a semidefinite programming reformulation. To demonstrate our model’s effectiveness and practical values, we design representative case studies that simulate four interconnected IWEH communities. The results show that DRO is more effective than robust optimization (RO) and stochastic optimization (SO) for avoiding excessive conservativeness and rendering practical utilities, without requiring enormous data samples. This work reveals a desirable methodological approach to optimize the water–energy–social nexus for increased economic and system-usage efficiency for the entire (integrated) urban utility system. Furthermore, the proposed model incorporates social participations by citizens to engage in urban utility management for increased operation efficiency of cities and urban areas.
dc.language.isoENen_US
dc.subject.enWater heating
dc.subject.enOptimization
dc.subject.enCosts
dc.subject.enCogeneration
dc.subject.enWater resources
dc.subject.enResistance heating
dc.subject.enPeer-to-peer computing
dc.title.enTwo-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading
dc.typeArticle de revueen_US
dc.identifier.doi10.1109/TCSS.2022.3200032en_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 Computational Social Systemsen_US
bordeaux.page1-13en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_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-03904390
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%20Computational%20Social%20Systems&rft.date=2022-08-30&rft.spage=1-13&rft.epage=1-13&rft.au=ZHAO,%20Pengfei&LI,%20Shuangqi&HU,%20Paul%20Jen-Hwa&CAO,%20Zhidong&GU,%20Chenghong&rft.genre=article


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