Stefanie Holly, Astrid Nieße, Martin Tröschel, Lasse Hammer, Christoph Franzius, Viktor Dmitriyev, Johannes Dorfner, Eric MSP Veith, Christine Harnischmacher, Maike Greve, Kristin Masuch, Lutz Kolbe, Boris Wulff & Julian Kretz
Unlocking and managing flexibility is an important contribution to the integration ofrenewable energy and an efficient and resilient operation of the power system. In thispaper, we discuss how the potential of a fleet of battery-electric transportation vehiclescan be used to provide frequency containment reserve. To this end, we first examinethe use case in detail and then present the system designed to meet this challenge. Wegive an overview of the tasks and individual sub-components, consisting of (a) anartificial neural network to predict the availability of Automated Guided Vehicles (AGVs)day-ahead, (b) a heuristic approach to compute marketable flexibility, (c) a simulationto check the plausibility of flexibility schedules, (d) a multi-agent system tocontinuously monitor and control the AGVs and (e) the integration of fleet flexibilityinto a virtual power plant. We also present our approach to the economic analysis ofthis provision of a system-critical service in a logistical context characterised by highuncertainty and variability
Oct / 2020
proceedings
SpringerOpen
Energy Informatics
FRESH Flexibilitätsmanagement und Regelenergiebereitstellung von Schwerlastfahrzeugen im Hafen