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Impact of Electric Vehicle Charging Infrastructure Expansion on Microgrid Economics: A Case Study

: Sprengeler, M.; Freudenmacher, T.; Popova, R.; Nguyen, H.Q.; Rojas la Rotta, M.; Stryi-Hipp, G.

Postprint urn:nbn:de:0011-n-6061817 (250 KByte PDF)
MD5 Fingerprint: eed6366e684298b4c95e2f47a5aba431
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Erstellt am: 12.11.2020

Institute of Electrical and Electronics Engineers -IEEE-:
3rd International Conference on Smart Energy Systems and Technologies, SEST 2020 : 7-9 September 2020, Istanbul, Turkey, held virtually
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-4701-7
ISBN: 978-1-7281-4702-4
6 S.
International Conference on Smart Energy Systems and Technologies (SEST) <3, 2020, Online>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ISE ()
Leistungselektronik; Netze und Intelligente Systeme; business models; charging infrastructure; data-driven decision support; electric vehicles; infrastructure planning; microgrid; optimization; Energiesystemanalyse

The operation of public and semi-public charging infrastructure is often not profitable yet. However, the integration of charging infrastructure in microgrids enables the introduction of innovative business models, e.g. by local renewable energy generation and storage units. Another driver to improve profitability is to adapt the charging infrastructure expansion according to its usage characteristics. This study presents a method to optimize the charging infrastructure expansion. Therefore, a mixed integer linear program with the aim to minimize costs is formulated and applied on real-world data. Via the optimization, different scenarios are developed and the microgrid integration is simulated in an operation optimization algorithm. Different business models such as PV and battery storage integration are computed and the economics of the business models in the different scenarios are evaluated. It can be concluded that microgrid integration can be a significant driver of charging infrastructure operation profitability. Integrating PV generation shortens the payback period in all scenarios. Also, PV generation and battery storage combined improve profitability, but not to the same extent than without storage unit. Furthermore, the optimization of the charging infrastructure expansion leads to a significant improvement of profitability. Combining both the microgrid integration, as well as the expansion optimization, the payback period can be decreased by up until 67 %.