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dc.contributor.authorSperstad, Iver Bakken
dc.contributor.authorSolvang, Eivind
dc.contributor.authorGjerde, Oddbjørn
dc.date.accessioned2020-11-26T10:34:43Z
dc.date.available2020-11-26T10:34:43Z
dc.date.created2020-09-03T08:41:24Z
dc.date.issued2020
dc.identifier.citation2020 International Conference on Probabilistic Methods Applied to Power Systems - PMAPSen_US
dc.identifier.isbn978-1-7281-2822-1
dc.identifier.urihttps://hdl.handle.net/11250/2689734
dc.description.abstractThe long-term planning frameworks currently used by electricity distribution grid companies are not designed to account for new challenges such as variable distributed generation or for new opportunities of active grid measures. Various advanced optimization methods for active grid measures are presented in the research literature, but they are rarely used in practice and are not always well suited to informing decision processes in distribution grid planning. To bridge this gap, this paper presents a framework for active distribution grid planning that takes as a starting point the traditional planning framework commonly used by Norwegian grid companies. The framework with selected, probabilistic methodologies is demonstrated through a case study considering voltage problems due to distributed photovoltaic (PV) generation, and battery energy storage systems and PV curtailment as active measures to defer grid reinforcement. The paper moreover discusses how probabilistic approaches can contribute to better informed distribution grid planning decisions.en_US
dc.language.isoengen_US
dc.relation.ispartof2020 International Conference on Probabilistic Methods Applied to Power Systems - PMAPS
dc.subjectpower system planningen_US
dc.subjectsocio-economic costbenefit analysisen_US
dc.subjectrisk analysisen_US
dc.subjectflexible resourcesen_US
dc.titleFramework and methodology for active distribution grid planning in Norwayen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.identifier.doi10.1109/PMAPS47429.2020.9183711
dc.identifier.cristin1826943
dc.relation.projectNorges forskningsråd: 257626en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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