Impact of Different Charging Strategies for Electric Vehicles in an Austrian Office Site

Carlo Corinaldesi, Georg Lettner, Daniel Schwabeneder, Amela Ajanovic and Hans Auer
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Carlo Corinaldesi: Energy Economics Group (EEG), Vienna University of Technology, Gußhausstraße 25-29, E370-3, 1040 Vienna, Austria
Georg Lettner: Energy Economics Group (EEG), Vienna University of Technology, Gußhausstraße 25-29, E370-3, 1040 Vienna, Austria
Daniel Schwabeneder: Energy Economics Group (EEG), Vienna University of Technology, Gußhausstraße 25-29, E370-3, 1040 Vienna, Austria
Amela Ajanovic: Energy Economics Group (EEG), Vienna University of Technology, Gußhausstraße 25-29, E370-3, 1040 Vienna, Austria
Hans Auer: Energy Economics Group (EEG), Vienna University of Technology, Gußhausstraße 25-29, E370-3, 1040 Vienna, Austria

Energies, 2020, vol. 13, issue 22, 1-17

Abstract: Electric vehicles represent a necessary alternative for wheeled transportation to meet the global and national targets specified in the Paris Agreement of 2016. However, the high concentration of electric vehicles exposes their harmful effects on the power grid. This reflects negatively on electricity market prices, making the charging of electric vehicles less cost-effective. This study investigates the economic potential of different charging strategies for an existing office site in Austria with multiple charging infrastructures. For this purpose, a proper mathematical representation of the investigated case study is needed in order to define multiple optimization problems that are able to determine the financial potential of different charging strategies. This paper presents a method to implement electric vehicles and stationary battery storage in optimization problems with the exclusive use of linear relationships and applies it to a real-life use case with measured data to prove its effectiveness. Multiple aspects of four charging strategies are investigated, and sensitivity analyses are performed. The results show that the management of the electric vehicles charging processes leads to overall costs reduction of more than 30% and an increase in specific power-related grid prices makes the charging processes management more convenient.

Keywords: electric mobility; charging strategies; economics; promotion policies; mixed-integer optimization; flexible systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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