Smart Micro Grid

Microgrid Testbed

The DAI-Labor Smart Microgrid Testbed is located centrally in Berlin at the Telefunken building on the campus of the Technische Universität Berlin. It has been built as a testbed for research projects in the e-mobility and smart grid domain. It is continuously extended to present research results from projects to a wider public. It demonstrates the seamless integration of mobility, distributed energy production and storage into a smart sustainable living.

The focus of DAI-Labor’s work in the testbed lies upon various goals. In addition to the overall goals of realizing optimized personal mobility for each e-vehicle user and, methods of non-discriminatory access to charging stations, one objective is to ensure electricity grid stability and support the integration of renewable energy sources in various e-mobility-scenarios. In this field of research, the testbed allows to undergo the process of technical realization, potential analysis and cost efficiency planning.

Infrastructure

The testbed is built on an area of around 200 m²:

• 4 parking spaces equipped with parking lot sensors
• 3 conductive charging stations (2 charge points each), 2 of which fully controllable by DAI-Labor
• 1 Li-Ion battery (10,8 kWh)
• 1 Photovoltaic plant (8,8 kWp)
• 1 BMW i3 electric vehicle used for analysis, testing and integration
• Detailed power quality analysis metering
• Parking gate for controlled access
• Environmental sensors and a weather station

Integration

The Smart Micro Grid provides a good example of IOLITE’s smart city integration capabilities. The testbed consists of 19 devices and sensors with 157 data points connected via 6 protocols / APIs.

The infrastructure is managed by the IOLITE Operating System, connecting all devices and sensors and making them interoperable for over-arching energy management use cases.

Additionally the testebed is equipped with the Smart Building Console. Grid operators benefit from the easy and intuitive user interface. A dashboard visualizes all devices and sensors at a glance. Additional views enable control and configuration of automation szenarios.