This paper proposes a deadbeat finite set model predictive current control based on discrete space vector modulation (DSVM) in order to achieve robust characteristics from the grid impedance variation while guaranteeing high performance of output current waveforms and a fixed switching frequency. The proposed DSVM strategy enables to obtain a large number of virtual voltage vectors without complex initialization process or lookup table, which are the drawbacks of the conventional DSVM strategies. A deadbeat technique was adopted to minimize the number of candidate voltage vectors considered in the cost function in order to avoid the high computational burden caused by considering all voltage vectors. The simulation and experimental results were presented to verify the effectiveness and performance of the proposed method using a two-level grid-connected voltage source inverter.
Manuscript received September 24, 2017; revised January 21, 2018 and April 4, 2018; accepted April 11, 2018. Date of publication April 27, 2018; date of current version November 21, 2018. This work was supported in part by the National Research Foundation of Korea funded by the Korea Government (MSIT) under Grant 2016R1A2B4010636, and in part by the R&D Program of the Korea Railroad Research Institute, Republic of Korea. Paper no. TEC-00740-2017. (Corresponding author: Kyo-Beum Lee.) H.-C. Moon is with Hanwha Systems, Yongin 17121, South Korea (e-mail:, hyuncheol.moon@hanwha.com).
