WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 20, 2025
Optimization of Bidirectional Energy Flow Control in a Microgrid based on a Finite Control Set Pedictive Control Model
Authors: ,
Abstract: Electrical power storage systems are critical components for ensuring the stability and efficiency of
microgrids, especially in renewable energy integration scenarios. This study proposes a significant advance in
the control of bidirectional energy flows by introducing a finite control set predictive model (FCS-MPC) for
the management of battery charging and discharging in a microgrid fed by a photovoltaic source. Photovoltaic
production is optimized using an MPPT algorithm based on the Incremental Conductance Method (INC),
guaranteeing maximum extraction of available power. Unlike conventional PI controllers, the proposed FCS-MPC
offers faster dynamic response, greater accuracy and improved stability, while maintaining a continuous, reliable
supply for a 1 kW DC system. Simulations carried out in Matlab/Simulink not only confirm the FCS-MPC’s
superior performance, but also demonstrate its ability to reduce oscillations and improve overall system efficiency.
These results position the FCS-MPC as a promising solution for advanced microgrid control, paving the way for
practical applications in complex energy environments.
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Keywords: Finit Control Set Model Predictive Control, Microgrids, DC-DC Bidirectional Converter,
Advanced Control, MPPT, Incremental Conductance
Pages: 193-208
DOI: 10.37394/232016.2025.20.15