Economic impact of PV forecast inaccuracies on a corporate parking charging infrastructure
Starosta, Anna Sina 1; Jhaveri, Purav 1; Munzke, Nina 1; Hiller, Marc 1 1 Elektrotechnisches Institut (ETI), Karlsruher Institut für Technologie (KIT)
Abstract:
The number of electric vehicles is increasing exponentially and there is a high need for charging infrastructure. Furthermore, climate change motivates for the integration of renewable energy. Therefore, a DC-coupled charging station connected to photovoltaic and a stationary battery system is being researched for a workplace environment. The component sizes are economically optimized for 20 charging points. The influence of a simple photovoltaic persistence forecast on the marginal charging tariff and the self-sufficiency is analysed depending on the component sizes. It is shown, that the positive influence of implementing a self-consumption maximizing charging strategy outweighs the monetary losses of forecasting inaccuracies. ... mehrThe decrease in self-sufficiency compared to a perfect PV forecast for a system without a stationary battery is 1 percentage point versus an increase of 20 percentage points compared to uncontrolled charging. Although systems without a battery are more economic, it is also shown, that systems with a battery can become economic for larger PV sizes.
Abstract (englisch):
The number of electric vehicles is increasing exponentially and there is a high need for charging infrastructure. Furthermore, climate change motivates for the integration of renewable energy. Therefore,
a DC-coupled charging station connected to photovoltaic and a stationary battery system is being researched for a workplace environment. The component sizes are economically optimized for 20 charging
points. The influence of a simple photovoltaic persistence forecast on the marginal charging tariff and
the self-sufficiency is analysed depending on the component sizes. ... mehrIt is shown, that the positive influence
of implementing a self-consumption maximizing charging strategy outweighs the monetary losses of
forecasting inaccuracies. The decrease in self-sufficiency compared to a perfect PV forecast for a system
without a stationary battery is 1 percentage point versus an increase of 20 percentage points compared
to uncontrolled charging. Although systems without a battery are more economic, it is also shown, that
systems with a battery can become economic for larger PV sizes.
Zugehörige Institution(en) am KIT
Elektrotechnisches Institut (ETI)
Publikationstyp
Proceedingsbeitrag
Publikationsdatum
11.06.2022
Sprache
Englisch
Identifikator
KITopen-ID: 1000149732
HGF-Programm
37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Erschienen in
Proceedings of the 35th International Electric Vehicle Symposium and Exhibition
Veranstaltung
35th International Electric Vehicle Symposium and Exhibition (EVS35 2022), Oslo, Norwegen, 11.06.2022 – 15.06.2022
Projektinformation
SKALE (BMWK, 01MV19004D)
Schlagwörter
energy storage, infrastructure, load management, photovoltaic, prediction