Power Congestion Management of a sub-Transmission Area Power Network using Partial Renewable Power Curtailment via MPC

Duc-Trung Hoang (1) , Sorin Olaru (1) , Alessio Iovine (1) , Jean Maeght (2) , Patrick Panciatici (2) , Manuel Ruiz (2)

1 L2S - Laboratoire des signaux et systèmes
2 RTE - Réseau de Transport d'electricite

Control systems dedicated to manage power transmission networks are facing design and deployment problems due to uncertainties and input time-delays, which may affect the overall system's performance and stability. To face situations due to the violations of the power lines thermal limits, the French Transmission System Operator (TSO) RTE aims to focus on splitting the entire system in sub-transmission areas (zones), and operate optimal management of battery devices and renewable production curtailments. The target of the present paper is to describe a time-delay model-based control approach for managing the electric power flow in sub-transmission zones dealing with model uncertainties while ensuring problem feasibility. Simulations on a case study of industrial interest validate the proposed method.

Mots clés: Power transmission network; partial power curtailment; energy storage; Model predictive control

Domaines: Automatique / Robotique; Energie électrique; Optimisation et contrôle [math.OC]

Duc-Trung Hoang, Sorin Olaru, Alessio Iovine, Jean Maeght, Patrick Panciatici, et al.. Power Congestion Management of a sub-Transmission Area Power Network using Partial Renewable Power Curtailment via MPC. IEEE 60th Conference on Decision and Control (CDC 2021), IEEE, Dec 2021, Austin, Texas, United States. ⟨10.1109/CDC45484.2021.9683606⟩. ⟨hal-03405213⟩