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dc.contributor.authorMaree, Johannes Philippus
dc.contributor.authorZaferanlouei, Salman
dc.date.accessioned2022-09-07T10:50:34Z
dc.date.available2022-09-07T10:50:34Z
dc.date.created2022-06-21T11:16:25Z
dc.date.issued2021
dc.identifier.citationProceedings of the 2021 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2021.en_US
dc.identifier.isbn978-1-6654-3339-6
dc.identifier.urihttps://hdl.handle.net/11250/3016274
dc.description.abstractThis work presents a Volt/VAr Management System, based on a Model Predictive Control strategy, which can be applied for managing dynamic network resilience. Dynamic network resilience, in this context, is associated with resilient microgrid operation (stable voltage profiles within admissible range) during the transition from grid-tied to island-mode operation. In addition, the predictive nature of the framework allows the systematic incorporation of forecasts on intermittent distributed renewable generation capacity and load demands which in turn can be utilized in a optimization based framework to optimally exploit network flexibility. The developed framework is validated for a migrogrid in the municipality of Frøya, Norway.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof2021 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
dc.titleA Model Predictive Control Volt/VAr Management System for the Froan networken_US
dc.title.alternativeA Model Predictive Control Volt/VAr Management System for the Froan networken_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.identifier.doi10.1109/ISGTAsia49270.2021.9715691
dc.identifier.cristin2033786
dc.relation.projectNorges forskningsråd: 280797en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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