Zonal congestion management mixing large battery storage systems and generation curtailment

Clementine Straub (1, 2) , Sorin Olaru (2) , Jean Maeght (1) , Patrick Panciatici (1)

1 RTE - Réseau de Transport d'Electricité [Paris]
2 L2S - Laboratoire des signaux et systèmes

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.

Domains: Mathematics [math]; Optimization and Control [math.OC]

Clementine Straub, Sorin Olaru, Jean Maeght, Patrick Panciatici. Zonal congestion management mixing large battery storage systems and generation curtailment. 2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA), Aug 2018, Copenhague, Denmark. pp.988-995. ⟨hal-01803052v2⟩