NDLI: Optimization Approach for Long-Term Planning of Charging Infrastructure for Fixed-Route Transportation Systems

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Optimization Approach for Long-Term Planning of Charging Infrastructure for Fixed-Route Transportation Systems

Content Provider	MDPI
Author	Belmonte, Benjamin Daniel Blat Rinderknecht, Stephan
Copyright Year	2021
Description	As the electrification of the transportation sector advances, fleet operators have to rethink their approach regarding fleet management against the background of limiting factors, such as a reduced range or extended recharging times. Charging infrastructure plays a critical role, and it is worthwhile to consider its planning as an integral part for the long-term operation of an electric vehicle fleet. In the category of fixed route transportation systems, the predictable character of the routes can be exploited when planning charging infrastructure. After a prior categorization of stakeholders and their respective optimization objectives in the sector coupling domain, a cost optimization framework for fixed route transportation systems is presented as the main contribution of this work. We confirm previous literature in that there is no one-fits-all optimization method for this kind of problem. The method is tested on seven scenarios for the public transport operator of Darmstadt, Germany. The core optimization is formulated as a mixed integer linear programming (MILP) problem. All scenarios are terminated by the criterion of a maximum solving time of 48 h and provide feasible solutions with a relative MIP-gap between 7 and 24%.
Starting Page	258
e-ISSN	20326653
DOI	10.3390/wevj12040258
Journal	World Electric Vehicle Journal
Issue Number	4
Volume Number	12
Language	English
Publisher	MDPI
Publisher Date	2021-12-10
Access Restriction	Open
Subject Keyword	World Electric Vehicle Journal Transportation Cost Optimization Charging Infrastructure Fixed-route Transportation Systems Electric Vehicle Fleets Operations Research Electromobility
Content Type	Text
Resource Type	Article

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