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1175 | 841 | Mr. | Professor Matthias Grandel, M.A. Claudius Kübler

For the success of the energy transition, the change in mobility behaviour also plays a decisive role. In concrete terms, this means a change of drive, from the conventional combustion car to the electric vehicle (EV). At the same time, a corresponding infrastructure must be created for charging EVs. Without intelligent, flexible charging this would require tremendous investments in energy generation and grid infrastructure. Economically, the provision of the necessary energy services is only feasible with intelligent control of the charging infrastructure. Dynamic power tariffs, which provide market-driven and grid-serving flexibility, are one component of the solution. For this purpose, however, technical, data protection and regulatory framework conditions must be created._x000D_
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Within our research focus, we recommend a framework for an event-driven tariff structure to incentivise the provision of flexibility based on EV-charging. Goal of this tariffs is to enable the end user to offer his flexible and controllable devices (heat pumps, battery storage, EV-Charging) to the power grid. Here we are moving in the field of tension between different needs and scenarios. For example, due to national weather conditions, there may be a surplus of renewable energy in the distribution grid, which leads to increased market-oriented demand because prices are very low or even negative. On the other hand, such an increased demand can lead to local grid bottlenecks, which makes an intervention of the distribution grid operator (DSO) necessary. _x000D_
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The proposals for this concept are based on the results from a Delphi expert survey among representative stakeholders, such as DSOs, integrated utilities, aggregators and new energy service provider. Furthermore, the concepts described above are being tested in a field trial at Biberach University of Applied Sciences using the smart meter gateway technology and energy management systems.

Professor Matthias Grandel, M.A. Claudius Kübler
Biberach University of Applied Sciences


 
ID Abstract: 841