dc.contributor.author | Maree, Johannes Philippus | |
dc.contributor.author | Zaferanlouei, Salman | |
dc.date.accessioned | 2022-09-07T10:50:34Z | |
dc.date.available | 2022-09-07T10:50:34Z | |
dc.date.created | 2022-06-21T11:16:25Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Proceedings of the 2021 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2021. | en_US |
dc.identifier.isbn | 978-1-6654-3339-6 | |
dc.identifier.uri | https://hdl.handle.net/11250/3016274 | |
dc.description.abstract | This 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.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.ispartof | 2021 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) | |
dc.title | A Model Predictive Control Volt/VAr Management System for the Froan network | en_US |
dc.title.alternative | A Model Predictive Control Volt/VAr Management System for the Froan network | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.identifier.doi | 10.1109/ISGTAsia49270.2021.9715691 | |
dc.identifier.cristin | 2033786 | |
dc.relation.project | Norges forskningsråd: 280797 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |