  The French transmission system operator (RTE) needs to face a significant
congestion increase in specific zones of the electrical network due to high
integration of renewable energies. Network reconfiguration and renewable energy
curtailment are currently employed to manage congestion and guarantee the
system security and stability. In sensitive zones, however, stronger levers
need to be developed. Large battery storage systems are receiving an increasing
interest for their potential in congestion management. In this paper, a model
for local congestion management mixing batteries and renewable generation
curtailment is developed. Subsequently, an energy management approach relying
on the principles of Model Predictive Control is presented. Results of
simulations on RTE data sets are presented for the analysis of the degrees of
freedom and sensitive parameters of the design.
