4023313
doi
10.5281/zenodo.4023313
oai:zenodo.org:4023313
user-evs33
Schumann, Jorn
Marchand, Sophie
Mittelsdorf, Marco
Kohrs, Robert
Diehl, Moritz
Electric Vehicle Charge Management taking into account Grid State and Forecast Uncertainties of Photovoltaic Generation
Groß, Arne
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
demonstration
optimization
photovoltaic
smart charging
smart grid
<p>The increasing usage of electric vehicles (EVs) motivates the development of decentralized control strategies for EV charging stations. We present a predictive control scheme that can mitigate the stress on the distribution grids as well as increase photovoltaic (PV) self-consumption while catering for forecast uncertainties. Here, we demonstrate the performance of our approach through a simulation and a field test within a residential context. Results suggest a significant increase in PV self-consumption with our novel dynamic approach compared to a previously static algorithm deployed in the same field environment.</p>
Zenodo
2020-09-11
info:eu-repo/semantics/conferencePaper
4023312
user-evs33
1601602270.222644
3585458
md5:00bdfa1c4a5df0a32959ee33fc71658e
https://zenodo.org/records/4023313/files/FinalPaper_Gross_Arne.pdf
public
10.5281/zenodo.4023312
isVersionOf
doi