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

Energy Informatics

article

Holly, Stefanie¹  Greve, Maike²  Masuch, Kristin²  Kolbe, Lutz²  Wulff, Boris³  Kretz, Julian⁴  Nieße, Astrid¹  Tröschel, Martin¹  Hammer, Lasse¹  Franzius, Christoph¹  Dmitriyev, Viktor¹  Dorfner, Johannes¹  Veith, Eric MSP¹  Harnischmacher, Christine² 

[1] OFFIS - Institute for Information Technology;Georg-August-Universität Göttingen;HHLA Container Terminal Altenwerder GmbH;Next Kraftwerke GmbH

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