Object-Oriented Charging Model for the Simulation of Grid-Serving Intelligent Charging Infrastructure

Inhalt:
The steadily increasing penetration of electric vehicles (EV) leads to a growing challenge for the existing power grids due to possible voltage band violations, grid congestions and an increasing thermal load on the grid equipment. In some cases, penetration rates of up to 30 % are assumed in relation to the current vehicle population in Germany by the year 2030. Intelligent load management can provide a way to significantly reduce the load on the power grid and the costs for grid expansion. To guarantee a safe and economical operation of the existing infrastructure and to use flexibilities efficiently, models must be developed that enable realistic representation of future charging behaviour and the resulting power requirements. These models form the basis for the required intelligent charging control mechanisms, which can relieve the existing distribution grids and thus achieve an efficient operation of the entire power supply system despite increasing volatile load extraction by charging processes of EVs. This article shows a cluster-based and incentive-oriented control system for grid-serving control of intelligent charging infrastructures for EVs, describes the underlying socio-technical model for representing realistic charging demand, and presents and discusses initial simulation results.