Título Stochastic MPC-Based Reconfiguration Approaches for Microgrids
Autores VELARDE RUEDA, PABLO ANIBAL, Zafra-Cabeza, Ascension , Marquez, Juan Jose , Maestre, Jose Maria , Bordons, Carlos
Publicación externa No
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto SJR 2.193
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182357013&doi=10.1109%2fTCST.2023.3342135&partnerID=40&md5=c952f89461eae8b1b3cb4f33053f2df1
Fecha de publicacion 19/12/2023
ISI 001129726700001
Scopus Id 2-s2.0-85182357013
DOI 10.1109/TCST.2023.3342135
Abstract 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.
Palabras clave Fault diagnosis; fault mitigation; fault-tolerant control; microgrids; model predictive control (MPC); stochastic approach
Miembros de la Universidad Loyola

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