Location-specific Dimensioning of Electric Vehicle Destination Charging Infrastructure.

Autor: Möller, Christian, Zdrallek, Markus, Schnittmann, Evgeny, Sindberg, Philipp, Kotthaus, Kevin
Předmět:
Zdroj: Digital Proceedings of the 'Virtual 4th E-Mobility Power System Integration Symposium'; 2019, p1-6, 6p
Abstrakt: The current discussions about the NOX emissions and the targets of CO2 reduction will push the transformation of the traffic sector towards e-mobility in the next years. Given the fact that one obstacle for electric vehicle (EV) acceptance still is the visibility of charging points, the expansion and distribution of the charging infrastructure at public spaces suiting the different use cases becomes an important part for the reliability related to the range. To dimension the charging infrastructure at destination charging locations (DCLs), such as supermarkets, shopping centers and cinemas, the consideration of regionalized impacts and factors depending on the particular location, such as the occupancy rate, is required. Additionally, a regionalization of an EV scenario for 2020 to 2050 in steps of five years provides the electrification rate on municipality level. These data are combined with charging profiles, which are based on real mobility statistics as well as data on charging probabilities, to determine the required EV parameters at the DCL. An optimization algorithm filters out the profiles matching best the occupancy of the DCL. By charging the EVs of the chosen profiles a total load profile for the location results, from which the number of required charging points is derived. In order to evaluate the efficiency of the simulated charging infrastructure, the distribution of the resulting states of charge is investigated. This paper carries out a case study by showing the results of the simulation for a supermarket for the year 2035 and a summary for the other years of the time scale. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index