Predictive control for congestion management on meshed electrical grids with high-power batteries

Prof. Sorin OLARU | Laboratory of Signals and Systems (CNRS) University Paris-Saclay, France Power generation has been undergoing a radical change due to the expansion of renewable energies. The part of the generation which can be characterized as intermittent and scarce is increasing in importance and is creating new overload constraints on electrical grids called congestions. In this context, batteries are gaining growing attention for their potential in congestion management. This talk will deal with the conception of new control algorithms relying on batteries aside the classical renewable curtailment to solve congestions on the meshed electrical grids. The control is based on two levels. The upper level relates to planification and the lower level is dedicated to real-time congestion management. The lower level is developed using Model Predictive Control and provides a framework to take into account delays on control actions. The upper level covers the batteries trajectories planning, supports the lower level and defines batteries capacity used for real-time congestion management and the residual capacities of these batteries. This level can thus be used to define a multi-service framework for batteries.