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Multi-Year High-Voltage Power System Planning Considering Active Power Curtailment

dc.date.accessioned2020-10-06T12:33:06Z
dc.date.available2020-10-06T12:33:06Z
dc.date.issued2020-09-19
dc.identifierdoi:10.17170/kobra-202009301860
dc.identifier.urihttp://hdl.handle.net/123456789/11852
dc.description.sponsorshipGefördert durch den Publikationsfonds der Universität Kasselger
dc.language.isoengeng
dc.rightsNamensnennung 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectpower system planningeng
dc.subjecthigh-voltageeng
dc.subjectcurtailmenteng
dc.subjectmulti-yeareng
dc.subjectlong-term planningeng
dc.subjecttime serieseng
dc.subjectnetwork expansion planningeng
dc.subject.ddc600
dc.titleMulti-Year High-Voltage Power System Planning Considering Active Power Curtailmenteng
dc.typeAufsatz
dcterms.abstractIntegrating active power curtailment (APC) of renewable energy sources (RES) in power system planning reduces necessary investments in the power system infrastructure. In current target grid planning methods, APC is considered by fixed curtailment factors without considering the provided flexibility to its full extent. Time-series-based planning methods allow the integration of the time dependency of RES and loads in power system planning, leading to substantial cost savings compared to the worst-case method. In this paper, we present a multi-year planning strategy for high-voltage power system planning, considering APC as an alternative investment option to conventional planning measures. A decomposed approach is chosen to consider APC and conventional measures in a long-term planning horizon of several years. The optimal investment path is obtained with the discounted cash flow method. A case study is conducted for the SimBench high-voltage urban benchmark system. Results show that the time-series-based method allows for reducing investments by up to 84% in comparison to the worst-case method. Furthermore, a sensitivity analysis shows the variation in total expenditures with changing cost assumptions.eng
dcterms.accessRightsopen access
dcterms.creatorSchäfer, Florian
dcterms.creatorBraun, Martin
dc.relation.doidoi:10.3390/en13184920
dc.subject.swdEnergieversorgungger
dc.subject.swdPlanungger
dc.subject.swdHochspannungger
dc.subject.swdStrategische Planungger
dc.subject.swdZeitreiheger
dc.subject.swdNetzausbauger
dc.subject.swdNetzplanungger
dc.type.versionpublishedVersion
dcterms.source.identifierEISSN 1996-1073
dcterms.source.issueIssue 18
dcterms.source.journalEnergieseng
dcterms.source.pageinfo4920
dcterms.source.volumeVolume 13
kup.iskupfalse


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