Economic constrained optimization for power balancing in a DC microgrid: A multi-source elevator system application

Thanh Hung Pham (1) , Ionela Prodan (1) , Denis Genon-Catalot (1) , Laurent Lefèvre (1)

1 LCIS - Laboratoire de Conception et d'Intégration des Systèmes

This paper considers a discrete-time scheduling method for the power balancing of a continuous-time DC microgrid system. A high-order dynamics and a resistor network are used for modelling the electrical storage unit and the DC bus of the centralized microgrid system, respectively. A PH (Port-Hamiltonian) formulation on graphs is employed to explicitly describe the microgrid topology. This modelling approach allows us to derive a discrete-time model which preserves the power and energy balance of the physical system. Next, a constrained economic MPC (Model Predictive Control) using the proposed control model is formulated for efficiently managing the microgrid operation. The systematic combination of the network modelling method and optimization-based control allows us to generate the appropriate power profiles. Finally, the benefits of the proposed approach are validated through simulation and comparison results over a particular DC microgrid elevator system under different scenarios and using real numerical data.

Mots clés: DC microgrid; Port-Hamiltonian systems on graphs; Model Predictive Control

Domaines: Automatique / Robotique

Thanh Hung Pham, Ionela Prodan, Denis Genon-Catalot, Laurent Lefèvre. Economic constrained optimization for power balancing in a DC microgrid: A multi-source elevator system application. International Journal of Electrical Power & Energy Systems, 2020, 118, pp.105753. ⟨10.1016/j.ijepes.2019.105753⟩. ⟨hal-02428237⟩