A New Advanced Strategy for Controlling the Charging and Discharging of a Storage Unit in a Microgrid Using a Finite Control Set Predictive Model

Abdelaziz  Youssfi; Youssef  Youssef El Kadi

doi:10.51646/jsesd.v14iSI_MSMS2E.404

Authors

Abdelaziz Youssfi Engineering and Applied Physics Research Team (EAP), High School of Technologies, Sultan Moulay Slimane University, Beni Mellal, Morocco.
Youssef Ait El Kadi Engineering and Applied Physics Research Team (EAP), High School of Technologies, Sultan Moulay Slimane University, Beni Mellal, Morocco.

DOI:

https://doi.org/10.51646/jsesd.v14iSI_MSMS2E.404

Keywords:

Finite control set model predictive control, FCS-MPC, Advanced Control, Bidirectional DC-DC Converters, Microgrid, Control and Optimization, storage Units, Renewable Energy.

Abstract

Storage units are critical in microgrids to ensure stable operation, making optimal and robust control during charging and discharging essential. In this work, we propose a novel finite control set model predictive control (FCS-MPC) strategy to manage the charging and discharging of a battery in a DC microgrid powered by renewable energy. Unlike traditional Proportional-Integral (PI) controllers, the FCS-MPC approach optimizes control actions in real-time, considering system constraints and providing enhanced dynamic response. This work demonstrates the superiority of FCS-MPC in controlling a bi-directional DC/DC converter under various test scenarios, ensuring continuous power supply to a 15W DC load. Simulations in Matlab/Simulink validate the proposal, showing that the FCS-MPC delivers higher efficiency and better performance compared to the PI controller.

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