Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB

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  • Publication
    Analysis of a coordinated infrastructure development for supplying battery and fuel cell electric vehicles
    ( 2020)
    Monsalve, Cristian
    ;
    Ruhe, Stephan
    ;
    Kharboutli, Samir
    ;
    Nicolai, Steffen
    The integration of electric vehicles has been proposed as one viable alternative for reducing CO2 emissions in the mobility sector. However, the effects of the integration of electric vehicles in distribution grids must be assessed to support the decision-making for planning future electrical grids. In this sense, this paper evaluates the technical effects of the integration of electric charging and H2-filling infrastructure in distribution grids for at different development scenarios of battery electric vehicles (BEV) and fuel cell electric vehicles (FCEV). Considering that zero-emission electric vehicles (ZEEV) will play a relevant role as suitable technology for reduction CO2 emission, it is required to determine the required measures that need to be performed in order to ensure the security and reliability of the electrical system. Thereby, the main contribution of this paper is a technical evaluation of the German distribution grids under different market developme nt scenarios for ZEEV until 2050, which allows determining the impact and reinforcements measures required for a sustainable integration of H2-filling and charging infrastructure in Germany. On the other hand, it provides some recommended actions to be considered in the development plans for network operators and political frameworks.
  • Publication
    NetzKapa: Simulation Tool for Assessing the Integration of Electrical Vehicles in Distribution Grids
    ( 2019)
    Monsalve, Christian
    ;
    Ruhe, Stefan
    ;
    Khabourtli, Samir
    ;
    Nicolai, Steffen
    This paper presents the architecture and functionalities of a grid simulation tool called NetzKapa. NetzKapa is a tool used for assessing distribution grids performance for different electrical vehicle configurations (e.g. distribution of charging infrastructure, charging profiles) by means of Monte-Carlo simulations. The Monte-Carlo method allows assessing significant amount of grid variations and obtains statistical information on different performance indicators. One of the contributions of this paper is the implementation of a concept call region of interest (ROI) in the Monte-Carlos simulations, which allows reducing the number of simulated configurations during the estimation of the grid capacity.