# Zonal congestion management mixing large battery storage systems and generation curtailment

arXiv: https://arxiv.org/abs/1806.01538 · HTML: https://mlsanity.com/paper/1806.01538/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jun 2018.

## Built on by (most cited first, 1 of 1)

- [Gaussian process surrogate model to approximate power grid simulators -- An application to the certification of a congestion management controller](https://mlsanity.com/paper/2503.00094/) (2025)

## Abstract (arXiv)

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.