Optimizing the Grid Operation by Using the FNN Control Box
Since 2020, the installation of intelligent metering systems is mandatory for private households in Germany with a yearly consumption from 6,000 kilowatt hours. By this, the German government aims to promote the digitalization of the power system and the energy transition. This creates new opportunities to optimize the grid operation as well as the integration of renewable energies and new consumers (such as electric vehicles and heat pumps) into the low voltage grid.
Within the intelligent metering system, the Smart Meter Gateway is the central communication unit. It enables grid operators, utilities and other stakeholders to access billing data and grid data as well as operating resources such as photovoltaic systems, batteries, heat pumps, charging infrastructure and home energy management systems. For the latter a control box is needed. The VDE FNN, the technical regulator for power grids in Germany, has defined a standardized control box for this purpose.
Energynautics and its partners Swistec, VIVAVIS and COUNT+CARE, as well as the associated partners Webasto, SOLARWATT and ENTEGA Plus, have joined forces to investigate the Smart Meter Gateway and the FNN control box with regard to the new opportunities for optimizing the grid operation. The German project is funded by the Federal Ministry of Economic Affairs and Energy.
The objective of the project is to develop a smart FNN control box, the so called SMECON-Box (Smart-Meter-CONtrol-Box). It combines local intelligence and central controllability. By using decentral and self-learning algorithms, the SMECON-Box will determine the grid state continuously and, in case of a critical grid situation, intervene autonomously. By this, the remote control by the grid operator will be minimized. A special focus is on the development of decentral grid supporting charging strategies for electric vehicles. The developed solutions will be tested and optimized in field tests. Apart of the project lead, Energynautics is mainly responsible for developing the intelligent control algorithms.