Model Predictive Control Modular Approach for Multi-Source System Management

Baptiste Boyer (1, 2) , Philippe Fiani (2) , Guillaume Sandou (1) , Emmanuel Godoy (1) , Cristina Vlad (1)

1 L2S - Laboratoire des signaux et systèmes
2 Sherpa Engineering

This paper presents a modular approach to model and control multi-source systems or networks. This method derives from an energy-based modeling approach called functional modeling in which predictive functional control algorithms have been implemented. A concept of cost function is introduced and associated to each source. The design of the control has several objectives: remain as generic as possible, satisfy the needs from the consumers and distribute flows in order to minimize the cost functions. This methodology is applied to a use case consisting in the management of an isolated production unit composed of a wind power plant and a backup battery. The system is modeled and controlled in order to ensure the active power balance between consumers needs and sources supplies.

Mots clés: predictive functional control; functional modeling; multi-source systems; wind power integration; energy storage; active power balance; smart grid; energy management

Domaines: Automatique / Robotique

Baptiste Boyer, Philippe Fiani, Guillaume Sandou, Emmanuel Godoy, Cristina Vlad. Model Predictive Control Modular Approach for Multi-Source System Management. 9th IEEE International Conference on Smart Energy Grid Engineering, Aug 2021, Oshawa, Canada. ⟨10.1109/sege52446.2021.9534997⟩. ⟨hal-03946310⟩