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Economic and sizing impact of PV forecast inaccuracies on charging infrastructure depending on its use case

Starosta, Anna Sina ORCID iD icon 1; Jhaveri, Purav 1; Munzke, Nina ORCID iD icon 1; Hiller, Marc 1
1 Elektrotechnisches Institut (ETI), Karlsruher Institut für Technologie (KIT)


Motivated by climate change, electricity production and mobility are to be restructured worldwide. Increasing sales of electric vehicles (EV) require the expansion of charging infrastructure, which must not burden the power grid. Decentralized energy supply systems with photovoltaic (PV) systems and stationary battery storage can solve this problem and ensure emission-free electricity production. In combination with a scalable charging station, the demand for charging infrastructure can be met and the expansion of renewable energies can be supported.
However, the use of PV poses challenges due to fluctuating power production and requires planning to meet the EV demand. In order to operate self-sufficiently in the future and thus sustainably relieve the power grid, the system components must be coordinated with each other. Dimensioning and operational optimization are thus the most important aspects for setting up and operating a system economically. An increased self-consumption of the energy produced can be achieved with an intelligent charging strategy by means of PV forecasts and load shifts. Due to the inaccuracy of the PV forecast, there is an economic disadvantage because the energy management cannot cover the load in an economically optimal way. ... mehr

Zugehörige Institution(en) am KIT Elektrotechnisches Institut (ETI)
Publikationstyp Vortrag
Publikationsdatum 11.05.2022
Sprache Englisch
Identifikator KITopen-ID: 1000149734
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Veranstaltung Power2Drive Europe (2022), München, Deutschland, 14.06.2023 – 16.06.2023
Projektinformation SKALE (BMWK, 01MV19004D)
Schlagwörter electric mobility, pv forecasting, charging infrastructure
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