Two-stage co-optimization for utility-social systems with social-aware P2P trading

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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
dc.contributor.authorHernando-Gil, Ignacio
dc.date.accessioned2022-09-06T08:59:12Z
dc.date.available2022-09-06T08:59:12Z
dc.date.issued2022-08-30
dc.description.abstractEffective 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.en_UK
dc.identifier.citationZhao P, Li S, Hu PJH, et al., (2023) Two-stage co-optimization for utility-social systems with social-aware P2P trading. IEEE Transactions on Computational Social Systems, Volume 10, Issue 4, August 2023 pp. 1875-1887en_UK
dc.identifier.issn2329-924X
dc.identifier.urihttps://doi.org/10.1109/TCSS.2022.3200032
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18408
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectDistributionally robust optimizationen_UK
dc.subjectsmart cityen_UK
dc.subjectsocial-aware managementen_UK
dc.subjectP2P tradingen_UK
dc.subjectwater-energy-social nexusen_UK
dc.titleTwo-stage co-optimization for utility-social systems with social-aware P2P tradingen_UK
dc.typeArticleen_UK

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