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

Energy Informatics

Maike Greve¹  Lutz Kolbe¹  Christine Harnischmacher¹  Kristin Masuch¹  Boris Wulff²  Julian Kretz³  Eric MSP Veith⁴  Martin Tröschel⁴  Christoph Franzius⁴  Astrid Nieße⁴  Viktor Dmitriyev⁴  Lasse Hammer⁴  Stefanie Holly⁴  Johannes Dorfner⁴ 

[1] Georg-August-Universität Göttingen, Platz der Göttinger Sieben 5, 37073, Göttingen, Germany;HHLA Container Terminal Altenwerder GmbH, Bei St. Annen 1, 20457, Hamburg, Germany;Next Kraftwerke GmbH, Lichtstraße 43g, 50825, Köln, Germany;OFFIS - Institute for Information Technology, Escherweg 2, 26121, Oldenburg, Germany;

关键词: Flexibility management;    Control reserve;    Electromobility;    Logistics;    Demand side management;    Autonomous guided vehicles;    Virtual power plants;    Multi-agent systems;    Deep learning;    Neural networks;   

DOI  :  10.1186/s42162-020-00129-1

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY