This repo allows to model indivual EV-flexibility profiles and aggregate them accurately (no naive aggregation). Furthermore, it allows to determine a representative fleet-size using peak-load as an indicator. The code has been used for the publication:
Muessel, J., Ruhnau, O., Madlener, R., 2023. Accurate and scalable representation of electric vehicles in energy system models: A virtual storage-based aggregation approach. iScience. DOI: 10.1016/j.isci.2023.107816
Aggregation: Virtual_Storage_Algorithm.ipynballows to create and aggregate individual flexibility potentials.
Emobpy: The input data for the profiles was created using emobpy with the notebook Emobpy/my_emobpy /Generation_adapted.ipynb
A patent application for the virtual storage approach is pending (DE102023102589.9). Please contact the authors if you want to use it.