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The influence of electric vehicle charging strategies on the sizing of electrical energy storage systems in charging hub microgrids

Title data

Haupt, Leon ; Schöpf, Michael ; Wederhake, Lars ; Weibelzahl, Martin:
The influence of electric vehicle charging strategies on the sizing of electrical energy storage systems in charging hub microgrids.
In: Applied Energy. Vol. 273 (2020) . - 115231.
ISSN 1872-9118
DOI: https://doi.org/10.1016/j.apenergy.2020.115231

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität
No information

Abstract in another language

Economic, ecologic, and social benefits support the rapid diffusion of grid-connected microgrids (MG). Economic feasibility still stands out as the primary goal of commercial MGs. A stationary electrical energy storage system (ESS) is often a central component of MGs, facilitating islanding and cost-effective management of main grid use. Therefore, previous research has focused on the sizing of stationary ESS. The advent of large-scale electric vehicle (EV) charging hub MGs (CHMG) such as the one along the freeway A8 near Augsburg, Germany, profoundly changes the economically optimal capacity of stationary ESS. While it is well conceived that EVs can be aggregated and then compensated for stationary ESS, research still lacks quantifiable evidence and methodological guidance on how the charging strategy (immediate, controlled, bidirectional) influences the economically optimal capacity of the stationary ESS. To address this gap, this paper proposes a method that includes a mixed-integer linear programming model for scheduling decisions under various conceivable ESS capacities and provides scenario analyses on the EV charging strategies as well as on ESS cost. Thereby, the method thus identifies the economically optimal capacity of the ESS. The results show that in the considered CHMG near Augsburg, the stationary ESS sizing decision is relevant in all but extreme scenarios. In particular, the economically optimal stationary ESS capacity soars if more than 65% of the EVs begin to charge immediately and the storage costs falls below 150 EUR/kWh. In contrast, smaller portions of controlled charging EVs can already drastically reduce stationary ESS. Remarkably, this paper also gives quantitative evidence that investments in bidirectional charging do not to pay off in the CHMG near Augsburg.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Commercial microgrid; Charging hub; Charging strategies; Vehicle-to-grid; Stationary electrical energy storage; Battery sizing
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 29 Jun 2020 08:40
Last Modified: 06 Nov 2023 12:46
URI: https://eref.uni-bayreuth.de/id/eprint/55630