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An ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumers

dc.contributor.authorZhang, Pan
dc.contributor.authorMansouri, Seyed Amir
dc.contributor.authorJordehi, Ahmad Rezaee
dc.contributor.authorTostado-Véliz, Marcos
dc.contributor.authorAlharthi, Yahya Z.
dc.contributor.authorSafaraliev, Murodbek
dc.date.accessioned2025-01-13T08:26:08Z
dc.date.available2025-01-13T08:26:08Z
dc.date.issued2024-06-01
dc.description.abstractEnhancing the reliability of energy networks and minimizing downtime is crucial, making self-healing smart grids indispensable for ensuring a continuous power supply and fortifying resilience. As smart grids increasingly incorporate decentralized prosumers, innovative coordination strategies are essential to fully exploit their potential and improve system self-healing capabilities. To address this need, this paper presents a novel bi-level strategy for managing the self-healing process within a smart grid influenced by Hydrogen Refueling Stations (HRSs), Electric Vehicle Charging Stations (EVCSs), and energy hubs. This approach taps into the combined potential of these prosumers to boost system self-healing speed and reliability. In the initial stage, the Smart Grid Operator (SGO) conducts self-healing planning during emergencies, communicating required nodal capacities to prevent forced load shedding and outlining incentives for smart prosumers. Subsequently, prosumers schedule their activities and contribute flexible capacities to the SGO. Bridging the first and second stages, an adaptive Alternating Direction Method of Multipliers (ADMM) algorithm ensures convergence between the SGO and prosumer schedules within a decentralized framework. This strategy underwent implementation on a 118-node distribution system using GAMS. Results demonstrate that the proposed concept reduces Forced Load Shedding (FLS) by 32.04% and self-healing costs by 17.48% through effective utilization of smart prosumers' flexible capacities. Furthermore, outcomes indicate that the SGO reduces FLS by 6.69% by deploying Mobile Electrical Energy Storages (MEESs) and Mobile Fuel Cell Trucks (MFCTs) to critical nodes.es_ES
dc.description.sponsorshipThis research has benefited from the funding of the program Strategic projects oriented to the ecological transition and digital transition with NextGenerationEU/PRTR funds of the Spanish Ministry of Science and Innovation/State Research Agency (project ‘‘Local markets for energy communities: designing efficient markets and assessing the integration from the electricity system perspective (OptiREC)’’, with reference number TED2021-131365B-C43. The research has also supported by the Natural Science Foundation of Universities of Anhui Province (KJ2020A0009)es_ES
dc.identifier.citationPan Zhang, Seyed Amir Mansouri, Ahmad Rezaee Jordehi, Marcos Tostado-Véliz, Yahya Z. Alharthi, Murodbek Safaraliev, An ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumers, Applied Energy, Volume 363, 2024, 123067, ISSN 0306-2619, https://doi.org/10.1016/j.apenergy.2024.123067.es_ES
dc.identifier.issn0306-2619es_ES
dc.identifier.other10.1016/j.apenergy.2024.123067es_ES
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0306261924004501?via%3Dihubes_ES
dc.identifier.urihttps://hdl.handle.net/10953/3882
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofApplied Energy [2024]; [363]; [123067]es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectSmart gridses_ES
dc.subjectSelf-healinges_ES
dc.subjectEnergy hubses_ES
dc.subjectHydrogen energyes_ES
dc.subjectVehicle-to-grid serviceses_ES
dc.subjectAlternating direction method of multiplierses_ES
dc.titleAn ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumerses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES

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