VELARDE RUEDA, PABLO ANIBAL, Zafra-Cabeza, Ascension , Marquez, Juan Jose , Maestre, Jose Maria , Bordons, Carlos
No
IEEE Trans. Control Syst. Technol.
Article
Científica
4.9
2.193
19/12/2023
001129726700001
2-s2.0-85182357013
This article focuses on the improvement of the real-time operation of the microgrid based on model predictive control (MPC), taking into account the stochastic nature of renewable resources and demand, as well as fault-tolerant mechanisms. Thus, a fault-tolerant strategy (FTS) module is inserted into the control loop, which is devoted to fault diagnosis and isolation, as well as setting reconfiguration actions that may involve modifications through the model parameters, the objective function, and the constraints used in the optimization problem solved by the MPC. Meanwhile, the MPC controller is responsible for managing the power of the microgrid, where two stochastic approaches are compared: tree-based MPC (TB-MPC) and chance-constrained MPC (CC-MPC). Experiments carried out in a simulated full-scale laboratory microgrid under various conditions demonstrate the effectiveness of the proposed algorithms in dealing with power equipment faults.
Fault diagnosis; fault mitigation; fault-tolerant control; microgrids; model predictive control (MPC); stochastic approach