Novel model predictive direct power control strategy for grid‐connected three‐level inverters
Xiaodong Wang, Xin Liu, Zhaohong Mo, Wen Ji, Zhonghua Xiong, Bing-Yuan Xia, Chuan Xie, Chenguang Li, Hongjun Zhang
Abstract
Conventional switching table‐based direct power control (DPC) usually suffers from higher power ripples due to the heuristic nature of the switching table. This study presents a novel model predictive DPC (MPDPC) strategy for grid‐connected three‐level inverters. In the proposed MPDPC strategy, a new synchronous frame‐based predictive model is first developed and the conjugate of the complex power is then chosen as the control variable to simplify the analysis. Based on the newly developed predictive model, new principles of the voltage vector selection are further derived with the strict analytical proof to match all the control requirements, including the active and reactive power control, neutral point potential balance control, as well as the avoidance of the high voltage jumps. Finally, experimental results are provided to support the theoretical study and confirm the effectiveness of the proposed MPDPC strategy, as well as to demonstrate better performance in both steady‐state and dynamic responses over the conventional DPC.