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Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder

dc.contributor.authorHolly, Stefanie
dc.contributor.authorNieße, Astrid
dc.contributor.authorTröschel, Martin
dc.contributor.authorHammer, Lasse
dc.contributor.authorFranzius, Christoph
dc.contributor.authorDmitriyev, Viktor
dc.contributor.authorDorfner, Johannes
dc.contributor.authorVeith, Eric M
dc.contributor.authorHarnischmacher, Christine
dc.contributor.authorGreve, Maike
dc.contributor.authorMasuch, Kristin
dc.contributor.authorKolbe, Lutz
dc.contributor.authorWulff, Boris
dc.contributor.authorKretz, Julian
dc.date.accessioned2020-11-01T04:30:24Z
dc.date.available2020-11-01T04:30:24Z
dc.date.issued2020
dc.identifier.urihttp://resolver.sub.uni-goettingen.de/purl?gs-1/17634
dc.description.abstractAbstract Unlocking and managing flexibility is an important contribution to the integration of renewable energy and an efficient and resilient operation of the power system. In this paper, we discuss how the potential of a fleet of battery-electric transportation vehicles can be used to provide frequency containment reserve. To this end, we first examine the use case in detail and then present the system designed to meet this challenge. We give an overview of the tasks and individual sub-components, consisting of (a) an artificial neural network to predict the availability of Automated Guided Vehicles (AGVs) day-ahead, (b) a heuristic approach to compute marketable flexibility, (c) a simulation to check the plausibility of flexibility schedules, (d) a multi-agent system to continuously monitor and control the AGVs and (e) the integration of fleet flexibility into a virtual power plant. We also present our approach to the economic analysis of this provision of a system-critical service in a logistical context characterised by high uncertainty and variability.
dc.language.isoen
dc.publisherSpringer International Publishing
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleFlexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder
dc.typejournalArticle
dc.identifier.doi10.1186/s42162-020-00129-1
dc.type.versionpublishedVersion
dc.date.updated2020-11-01T04:30:24Z
dc.rights.holderThe Author(s)
dc.bibliographicCitation.volume3
dc.bibliographicCitation.issueSuppl 1
dc.bibliographicCitation.firstPage1
dc.bibliographicCitation.lastPage20
dc.type.subtypejournalArticle
dc.bibliographicCitation.articlenumber26
dc.bibliographicCitation.journalEnergy Informatics


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