Project period: November 2019 – October 2022The project Netz_eLOG develops methods for an intelligent network integration of the electrified transport sector. The use of flexibility is becoming increasingly important for grid operators due to the increasing, volatile feed-in of renewable energy. Electric vehicles offer a high potential for this due to the built-in storage facilities. The intelligent use of flexibility options resulting from different charging strategies is the subject of the Netz_eLOG project.
Using the example of a large Deutsche Post DHL Group (DPDHL) electric delivery fleet, the various flexibility options in the distribution network of E.DIS Netz GmbH are demonstrated in a practical trial. In a first step, the practical test will be carried out with 63 StreetScooters WORK XL at the location in Kleinmachnow. The aim of the joint project is to analyse how these can be used so that intelligent network integration can support a rapid market ramp-up for electric commercial vehicles. Grid operators should be able to assess the requirements and flexibility options of grid integration and take these into account in future grid planning. The network partners will develop network-side, dynamic control options, which will be tested in the real operation of the DPDHL electric logistics fleet. This control of the charging processes will consider essential criteria of the power grid, the vehicles as well as the logistics process in order to calculate an optimal charging behaviour. Together, the partners will develop reliable procedures and technologies which, for example, prevent spatial and temporal overload of the grid, take into account the electricity production through renewable energy and ensure the supply of the vehicle fleet. The aspects of grid compatibility depending on the possible loading modes are also investigated in order to exclude possible restrictions for the control. In contrast to standard load management, the control of charging processes planned in this project offers the possibility of identifying and exploiting unused potentials in the network. The intelligent control of the charging processes of electric fleets is particularly relevant due to future legislation, as from October 2021, generation plants with an output of 100 kW and remote-controlled plants will also be included in the redispatch as part of the amendment to the Network Expansion Acceleration Act (NABEG 2.0). This potentially affects all 890 distribution grid operators in Germany. The new regulations also affect large electric vehicle fleets in the future, if these are controllable. Netz_eLOG examines how the flexibility of electromobility can contribute to ensuring grid stability, particularly at the distribution grid level.
Furthermore, Netz_eLOG aims to develop guidelines that enable application throughout Germany. To this end, various transferability scenarios will be used to simulate how the procedures developed can be transferred to other logistics locations and areas of application from a technical, ecological and economic point of view, and which flexibility options result from the loading processes. A further building block to ensure the transferability of the project findings is the development and validation of business and incentive models for electric fleet and distribution network operators. These take into account the climate protection goals of the federal government, the electricity grid, the integration of renewable energy and the economic, regulatory and competitive constraints of logistics operations as well as other areas of application. In order to develop and validate these incentive models and their transferability, various relevant stakeholders will be involved in the project via workshops. In these workshops, the project partners present interim results of the project and actively discuss the project findings with the stakeholders.
© Image: DPDHL
RLI assumes the following tasks within this research project:
- Leadership of consortium
- Development of a simulation model that can map the intelligent, network-relevant control options within the local energy system
- Simulation of various scenarios at the Kleinmachnow site (stationary battery storage, use of bidirectional charging, integration of local renewable energy)
- Simulation and evaluation of transferability scenarios for the application of intelligent control options at further locations and fields of application
- Identification of incentive models and operating strategies for the intelligent grid integration of electrified vehicle fleets under ecological, economic, technical and operational restrictions
- Integration of relevant stakeholders to develop economic incentive models in workshop format
- Analysis of the wide application of the flexible, network-oriented control system
- Development of a guideline for distribution network and fleet operators for the flexible, network-supporting operation of large electrified vehicle fleets