Economic supervisory predictive control of a hybrid power generation plant

Jean-Yves Dieulot (1, 2) , Frédéric Colas (3) , Lamine Chalal (1) , Genevieve Dauphin-Tanguy (1)

1 LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
2 Polytech Lille - École polytechnique universitaire de Lille
3 L2EP - Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697

This work deals with the development of an economic supervisory predictive control method for the management of a hybrid renewable energy system. The hybrid cell integrates solar panels, a gas microturbine and a storage unit. Tuning the predictive controller is easy: the optimal criterion encom- passes the environmental, fuel, energy delivery and storage costs. Short time predictions of the solar power are embedded in the supervisor which yields smoother battery control and better power management. Real-time experiments are driven in a Hardware-in-the-Loop framework illustrating the relevance of the proposed supervisory predictive control design.

Mots clés: Economic model predictive control; Power system control; Supervisory predictive control; Renewable hybrid system; Hardware in the loop

Domaines: Energie électrique

Jean-Yves Dieulot, Frédéric Colas, Lamine Chalal, Genevieve Dauphin-Tanguy. Economic supervisory predictive control of a hybrid power generation plant. Electric Power Systems Research, 2015, 127, pp.221-229. ⟨10.1016/j.epsr.2015.06.006⟩. ⟨hal-01890389⟩