*Article* **A Modified Model Predictive Power Control for Grid-Connected T-Type Inverter with Reduced Computational Complexity**

**Van-Quang-Binh Ngo 1,2, Minh-Khai Nguyen 3, Tan-Tai Tran 1, Joon-Ho Choi 1,\* and Young-Cheol Lim 1,\***


Received: 16 January 2019; Accepted: 13 February 2019; Published: 15 February 2019

**Abstract:** This study proposed a modified power strategy based on model predictive control for a grid-connected three-level T-type inverter. The controller utilizes the mathematical model to forecast the performance of the grid current, the balance of DC-bus capacitor voltages and switching frequency. The proposed method outlines a new technique to formulate a control objective. The control objective includes the absolute error of the inverter voltage reference and its possible values instead of the grid current error. By using the modified equivalent transformations in the cost function, the execution time was reduced 22% compared to the traditional model predictive control while maintaining the high dynamic performances of the power and low total harmonic distortion of the current. A comparative investigation showed that the proposed method obtains a high-performance control compared with the classical power control scheme with linear PI controllers and space vector modulation. The feasibility of the proposed method was verified by the simulation and experimental results.

**Keywords:** computational complexity; direct power control; finite control set model predictive control; PI controllers; space vector modulation; three-level T-type inverter
