The Smart5Grid research project aims at developing 5G solutions for building innovative and high performance smart grids able to feature online monitoring data and enable efficient, fast, and secure operation.
Up-to-now, the main discussion for 5G has been to support the next wave of smart grid features and efficiency at the behind-the-meter level, by integrating many low-voltage devices into the power grid through low-cost connections, managing demand and load balance domestically, aiming the reduction of the electricity peaks and energy costs. However, it is expected that, as the emergence of smart grids will grow, a lion share of the growth will take place in the medium-voltage levels: towards secondary substations and distributed energy resources, as well as between secondary substations and primary substation.
Smart5Grid aims to revolutionize the Energy Vertical industry through the successful establishment of four fundamental functions of modern smart grids, i.e., (i) automatic power distribution grid fault detection, (ii) remote inspection of automatically delimited working areas at distribution level, (iii) millisecond level precise distribution generation control, and (iv) real-time wide area monitoring in a creative cross-border scenario, thus assisting power grid operators and other energy stakeholders (e.g., smart grid operators, distribution system operators/transmission system operators, energy service providers, etc.)
The Smart5Grid project brings together a strong consortium of twenty four partners, consisted of high profile telecommunication, ICT, and energy companies, well established research and innovation institutes and actively innovative SMEs. It is coordinated by the ENEL Global and Infrastructure Networks S.R.L. (Department of Applied Information Technology).
The Smart5Grid (Demonstration of 5G solutions for SMART energy GRIDs of the future) is part of the third phase of 5G-PPP (public private partnership) Programme funded under the European Union’s Horizon 2020, which focuses on 5G technology demonstration in industry verticals.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101016912.