A two-stage risk-based framework for dynamic configuration of a renewable-based distribution system considering demand response programs and hydrogen storage systems

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dc.contributor.authorMojaradi, Z.
dc.contributor.authorTavakkoli-Moghaddam, R.
dc.contributor.authorBozorgi-Amiri, A.
dc.contributor.authorHeydari, J.
dc.date.accessioned2024-05-19T14:33:48Z
dc.date.available2024-05-19T14:33:48Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractDistribution feeder reconfiguration (DFR) in distribution systems can enhance operating conditions by reducing losses and improving voltage indices. This paper introduces a dual-stage risk-based framework that concurrently tackles day-ahead reconfiguration and microgrid scheduling within the distribution network. To control the negative aspects of uncertainties, the proposed framework integrates energy storage systems (ESS/HSS) and demand response programs (DRPs) at the network level, enhancing adaptability. The initial stage of the proposed model employs the AC power flow model, utilizing loss and voltage deviation functions as objective benchmarks for network reconfiguration. The scheduling is meticulously executed per interval, deriving optimized structures under diverse scenarios with the aid of a case reduction technique (CRT) to streamline solutions. The ultimate solution employs the grey wolf optimization (GWO) algorithm and CPLEX solver in the first and second stages respectively. Outcomes from applying this approach to the adjusted 118-bus network manifest improved operational conditions and voltage quality through reconfiguration. Impressively, the integration of ESS/HSS and DRPs yields a substantial 22.34% reduction in total operating costs, a conclusion substantiated by the numerical findings. Furthermore, by leveraging the CRT, a remarkable 56.17% reduction in problem-solution time is achieved. © 2024 Hydrogen Energy Publications LLCen_US
dc.identifier.doi10.1016/j.ijhydene.2024.03.073
dc.identifier.endpage271en_US
dc.identifier.issn0360-3199
dc.identifier.scopus2-s2.0-85187197760en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage256en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijhydene.2024.03.073
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4338
dc.identifier.volume62en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofInternational Journal of Hydrogen Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectDay-Ahead Energy Managementen_US
dc.subjectDemand Response Programsen_US
dc.subjectDistribution Feeder Reconfigurationen_US
dc.subjectMeta-Heuristic Algorithmen_US
dc.subjectRenewable Energy Resourcesen_US
dc.subjectVoltage Deviationen_US
dc.titleA two-stage risk-based framework for dynamic configuration of a renewable-based distribution system considering demand response programs and hydrogen storage systemsen_US
dc.typeArticleen_US

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