Flexible Management of Charging Points for E-mobility

IEEE International Energy Conference (ENERGYCON), pp. 876–881

Abstract

The integration of electric vehicles into distribution grids poses new challenges to distribution system operators: while maintaining a grid state which is compliant to regulatory requirements with only limited control and information about electric vehicles' charging processes, customers should be impaired as little as possible by demand side management measures. In order to tackle these challenges in a combined approach, a demand side management algorithm with focus on limited charging process information is implemented. Different levels of available information about charging processes are taken into account and missing information is estimated based on customer behavior statistics. A simulation framework is set up to investigate the effects of various scenarios of penetration and controllability levels. Simulations are run using the model of an existing low voltage grid. Results show that the load profiles generated based on the aforementioned estimations help reducing invalid grid states caused by unsupervised charging processes. Moreover, the algorithm reduces the amount of violations of the targeted threshold values exponentially with the number of controllable charging stations. Incorporating additional information about loading processes improves the management system by reducing both, the amount of uncharged energy and the number of unfinished loading processes.

Authors 4

1. Marc Pape
   Affiliation as printed

   Software Development Envelio GmbH, Cologne, Germany

2. Marc Trageser Aachen Institute of High Voltage Equipment and Grids

   RWTH Aachen University

   Affiliation as printed

   Institute of High Voltage Equipment and Grids, Digitalization and Power Economics RWTH Aachen University, Aachen, Germany

3. Chris Martin Vertgewall Aachen Institute of High Voltage Equipment and Grids

   RWTH Aachen University

   Affiliation as printed

   Institute of High Voltage Equipment and Grids, Digitalization and Power Economics RWTH Aachen University, Aachen, Germany

4. Philipp Goergens
   Affiliation as printed

   Software Development Envelio GmbH, Cologne, Germany