@incollection{StollenwerkFranzkeMaureretal.2023,
  author    = {Stollenwerk, Dominik and Franzke, Till and Maurer, Florian and Reinkensmeier, Sebastian and Kim, Franken and Tambornino, Philipp and Haas, Florian and Rieke, Christian and Hermanuz, Andreas and Borchert, J{\"o}rg and Ritz, Thomas and Sander, Volker},
  title     = {Smarte Lades{\"a}ulen : Netz- und Marktdienliches {\"o}ffentliches Laden},
  series = {Towards the New Normal in Mobility : Technische und betriebswirtschaftliche Aspekte},
  booktitle = {Towards the New Normal in Mobility : Technische und betriebswirtschaftliche Aspekte},
  editor    = {Proff, Heike},
  publisher = {Springer Gabler},
  address   = {Wiesbaden},
  isbn      = {978-3-658-39437-0 (Print)},
  doi       = {10.1007/978-3-658-39438-7_18},
  pages     = {287 -- 304},
  year      = {2023},
  abstract  = {Stand 01.01.2022 sind in Deutschland 618.460 elektrisch angetriebene KFZ zugelassen. Insgesamt sind derzeit 48.540.878 KFZ zugelassen, was einer Elektromobilit{\"a}tsquote von ca. 1,2 \% entspricht. Derzeit werden Elektromobile {\"u}ber Ladestationen oder Steckdosen mit dem Stromnetz verbunden und {\"u}blicherweise mit der vollen Ladekapazit{\"a}t des Anschlusses aufgeladen, bis das Batteriemanagementsystem des Fahrzeugs abh{\"a}ngig vom Ladezustand der Batterie die Ladeleistung reduziert.},
  language  = {de}
}
@article{MaurerRiekeSchemmetal.2023,
  author    = {Maurer, Florian and Rieke, Christian and Schemm, Ralf and Stollenwerk, Dominik},
  title     = {Analysis of an urban grid with high photovoltaic and e-mobility penetration},
  series = {Energies},
  volume    = {16},
  journal   = {Energies},
  number    = {8},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1996-1073},
  doi       = {10.3390/en16083380},
  pages     = {18 Seiten},
  year      = {2023},
  abstract  = {This study analyses the expected utilization of an urban distribution grid under high penetration of photovoltaic and e-mobility with charging infrastructure on a residential level. The grid utilization and the corresponding power flow are evaluated, while varying the control strategies and photovoltaic installed capacity in different scenarios. Four scenarios are used to analyze the impact of e-mobility. The individual mobility demand is modelled based on the largest German studies on mobility "Mobilit{\"a}t in Deutschland", which is carried out every 5 years. To estimate the ramp-up of photovoltaic generation, a potential analysis of the roof surfaces in the supply area is carried out via an evaluation of an open solar potential study. The photovoltaic feed-in time series is derived individually for each installed system in a resolution of 15 min. The residential consumption is estimated using historical smart meter data, which are collected in London between 2012 and 2014. For a realistic charging demand, each residential household decides daily on the state of charge if their vehicle requires to be charged. The resulting charging time series depends on the underlying behavior scenario. Market prices and mobility demand are therefore used as scenario input parameters for a utility function based on the current state of charge to model individual behavior. The aggregated electricity demand is the starting point of the power flow calculation. The evaluation is carried out for an urban region with approximately 3100 residents. The analysis shows that increased penetration of photovoltaics combined with a flexible and adaptive charging strategy can maximize PV usage and reduce the need for congestion-related intervention by the grid operator by reducing the amount of kWh charged from the grid by 30\% which reduces the average price of a charged kWh by 35\% to 14 ct/kWh from 21.8 ct/kWh without PV optimization. The resulting grid congestions are managed by implementing an intelligent price or control signal. The analysis took place using data from a real German grid with 10 subgrids. The entire software can be adapted for the analysis of different distribution grids and is publicly available as an open-source software library on GitHub.},
  language  = {en}
}