A novel simplified finite control set repeat model predictive control for grid-connected invertersA novel simplified finite control set repeat model predictive control for grid-connected inverters Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2025-10-022023enDue to fast dynamic response, multiconstraint control capability, and strong robustness, the finite control set model predictive control (FCS-MPC) algorithm has been extensively studied. However, the traditional FCS-MPC algorithm has a heavy computational burden because of the need to traverse all possible voltage vectors. In order to reduce the candidate vectors, a new simplified finite control set repeat model predictive control algorithm (FCS-RMPC) is proposed in this article. In the proposed algorithm, the optimal vectors at the same position in consecutive fundamental frequency periods are regarded as the same or adjacent. Based on this, the proposed algorithm takes the historical data of the optimal voltage vector into consideration for the selection of the optimal vector during the next time steps. Based on the proposed FCS-RMPC algorithm, the computational burden of the system can be significantly reduced. The experimental platform of a three-phase two-level grid-connected inverter with the LCL filter is established to validate the feasibility and effectiveness of the proposed control strategy.This work was supported in part by the program “Bilateral and Multilateral Research & Technology Co-operation between Greece and China” under Grant 2017YFGH001164 and Grant eSOLAR/T7ΔKI-00066.http://creativecommons.org/licenses/by/4.0/IEEE Transactions on Industrial Electronics701111324-11333 Zhang Bingtao Wu Weimin Yang Yong Gao Ning Chen Jianming Koutroulis Eftychios Κουτρουλης Ευτυχιος Chung Henry Liserre Marco Blaabjerg, Frede, 1963- Institute of Electrical and Electronics Engineers Candidate vector selection Finite control set model predictive control (FCS-MPC) Grid-connected inverters (GCI) LCL filter