Hyun Cheol Moon, June-Seok Lee, and Kyo-Beum Lee, "A Robust Deadbeat Finite Set Model Predictive Current Control Based on Discrete Space Vector Modulation for Grid-Connected Voltage Source Inverter," IEEE Transactions on Energy Conversion, vol. 33, no. 4, > Paper

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Paper

International Journals Hyun Cheol Moon, June-Seok Lee, and Kyo-Beum Lee, "A Robust Deadbeat Finite Set Model Predictive Current Control Based on Discrete Space Vector Modulation for Grid-Connected Voltage Source Inverter," IEEE Transactions on Energy Conversion, vol. 33, no. 4, pp. 1719–1728, Dec. 2018. -SCI

2018

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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.  

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