  In the current context of high integration of renewable energies, maximizing
infrastructures capabilities for electricity transmission is a general need for
Transmission System Operators (TSO). The French TSO, RTE, is developing levers
to control power flows in real-time: renewable production curtailment is
already employed and large battery storage systems are planned to be installed
for congestion management in early 2020. The combination of these levers with
the use of Dynamic Line Rating (DLR) helps exploiting the lines at the closest
of their limit by managing their temperature in real-time. Unnecessary margins
can be reduced, avoiding congestion and excessive generation curtailment. In
particular, there is a possible interesting correlation between the transits
increase due to high wind farms generation and the cooling effect of wind on
power lines in the same area. In order to optimize the electrical transmission
network capacities, the present paper advocates the use of a temperature
management model, mixing production curtailment and large batteries as control
variables. A robust Model Predictive Control framework for local control on
electrical lines temperature is presented based on the regulation within tubes
of trajectories. Simulations on the French electrical network are conducted to
show the effectiveness of the optimization-based control design.
