A novel Multi-step Model Predictive Control design for three-phase T-Type inverter in grid-connected mode

Phuong Vu, Anh Tuan Do, Linh Nguyen

Abstract


In this paper, a novel multi-step model predictive control (MPC) is proposed for the control design of a three-phase T-Type inverter in grid-connected mode. With a modification in the cost function, multiple objective optimization solutions can be achieved, i.e., switching sequence optimization, capacitor voltage balance, and common-mode voltage (CMV) minimization. In addition, the computational burden, which is always an issue of the MPC, is reduced by utilizing the sphere decoding algorithm (SDA). To verify the effectiveness of the proposed method, as well as the advantages of the multi-step MPC in comparison with its single-step counterpart, numerical simulations using Matlab/Simulink, are conducted.


Keywords


Multi-step model predictive control, T-type inverter, Sphere Decoding Algorithm ( SDA)

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v11i4.12481.g8353

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