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Dual-model Predictive Direct Power Control for Grid-connected Three-level Converter Systems
Bihua Hu, Longyun Kang, Teng Feng, Shubiao Wang, Jiancai Cheng, and Zhi Zhang
Abstract Many researchers devote themselves to develop model-predictive direct power control (MPDPC) so as to accelerate the response speed of the grid-connected systems, but they are troubled its large computing amount. On the basis of MPDPC, dual MPDPC (DMPDPC) is presented in this paper. The proposed algorithm divides the conventional MPDPC into two steps. In the first step, the optimal sector is obtained, which contains the optimal switching state in three-level converters. In the second step, the optimal switching state in the selected sector is searched to trace reference active and reactive power and balance neutral point voltage. Simulation and experiment results show that the proposed algorithm not only decreases the computational amount remarkably but also improves the steady-state performance. The dynamic response of the DMPDPC is as fast as that of the MPDPC.
Keyword Active and reactive power, Computing amount, Model predictive control, Neutral point voltage, Three-level converter
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