Intelligent Charging Management – Innovation Instead of System Charges
(Room Arena 4)
20 Jun 18
11:00 AM
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12:30 PM
Tracks:
Arena 4: What Happens When eMobility Goes Mainstream?
Electric vehicles (EV) combined with renewable energies have a huge potential to reduce CO2-emissions. However, a future change from combustion engines to electrical drives leads to new challenges. Especially where many charge points are connected together at one site (e.g. at multi-family houses or parking areas), even if each charge point has only a moderate power level like 11kW. Since the system charges (e.g. for expanding) are based on the sum of the maximum power of the charging stations, the costs can quickly become very high. In this context, intelligent charging management plays an important role to avoid high costs for the charge point operator (CPO) respectively charge point owner and to significantly reduce the load on the power grid. But intelligent charging management not only guarantees a maximum flexibility and enables the use of decentral generated renewable energy, it also offers the possibility for a demand-oriented and power network-friendly as well as price-efficient energy consumption. In addition, the supplementary integration of stationary storages and renewable energy sources is essential in order to provide a real “zero-emission infrastructure”. For this reason, an intelligent charging management is developed and implemented in a prototype system within the framework of the SEAMLESS project. Hereby, the intelligence is distributed both to the central CPO backend as well as to a decentralized site controller, and the results are executed using standard protocols (such as OCPP1.6). To calculate the optimized smart charging profiles for each charge point, various input sources are taking into account (e.g. information about the energy demand of the EV drivers and the electricity price of the coming hours, the local generation and consumption as well as the state of charge of the stationary storage). A detailed description of the mentioned methodology, the possible potentials and the obtained project results will be given in the full paper.