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Impacts of Stochastic Wind Power and Storage Participation on Economic Dispatch in Distribution Systems

dc.contributor.authorBizuayehu, Abebe W.
dc.contributor.authorSánchez de la Nieta, Agustín
dc.contributor.authorContreras, Javier
dc.contributor.authorCatalão, João P. S.
dc.date.accessioned2025-08-08T06:42:39Z
dc.date.available2025-08-08T06:42:39Z
dc.date.issued2016-03-24
dc.identifier.citationA. W. Bizuayehu, A. A. Sánchez de la Nieta, J. Contreras and J. P. S. Catalão, "Impacts of Stochastic Wind Power and Storage Participation on Economic Dispatch in Distribution Systems," in IEEE Transactions on Sustainable Energy, vol. 7, no. 3, pp. 1336-1345, July 2016, doi: 10.1109/TSTE.2016.2546279es
dc.identifier.issn1949-3029
dc.identifier.urihttps://hdl.handle.net/20.500.12412/6754
dc.description.abstractEvaluating the impact related to stochastic wind generation and generic storage on economic dispatch in distribution system operation is an important issue in power systems. This paper presents the analysis of the impacts of high wind power and storage participation on a distribution system over a period of 24 h using grid reconfiguration for electrical distribution system (EDS) radial operation. In order to meet this objective, a stochastic mixed integer linear programming (SMILP) is proposed, where the balance between load and generation has to be satisfied minimizing the expected cost during the operation period. The model also considers distributed generation (DG) represented by wind scenarios and conventional generation, bus loads represented through a typical demand profile, and generic storage. A case study provides results for a weakly meshed distribution network with 70 buses, describing in a comprehensive manner the effects of stochastic wind scenarios and storage location on distribution network parameters, voltage, substation behavior as well as power losses, and the expected cost of the system.es
dc.language.isoenges
dc.titleImpacts of Stochastic Wind Power and Storage Participation on Economic Dispatch in Distribution Systemses
dc.typearticlees
dc.identifier.doi10.1109/TSTE.2016.2546279
dc.issue.number8es
dc.journal.titleIEEE Transactions on Sustainable Energyes
dc.page.initial1336es
dc.page.final1345es
dc.rights.accessRightsembargoedAccesses
dc.subject.keywordDistributed generationes
dc.subject.keywordDistribution system reconfiguration (DSR)es
dc.subject.keywordGeneric storagees
dc.subject.keywordStochastic mixed integer linear programming (SMILP)es
dc.subject.keywordWind generationes
dc.volume.number7es


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