Virtual Vector Based Model Predictive Common-Mode Voltage Reduction Method for Voltage Source Inverters
Guo Leilei1, Jin Nan1, Li Yanyan1, Cao Lingzhi1, Dai Linwang2, Luo Kui2
1. College of Electric and Information Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China; 2. State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100192 China
Abstract：Considering the problem that the conventional single vector based model predictive common-mode voltage(CMV) reduction method has large current harmonics for 2-level voltage source inverters(VSIs), a virtual vector based model predictive CMV reduction method is proposed to achieve the CMV suppression as well as the current harmonics reduction. Firstly, the realization principle of the virtual vector approach is given, and the influence of the dead time and the control delay on the proposed virtual vector approach is analyzed. Secondly, in order to eliminate the CMV spikes caused by the dead time and the control delay, the proposed virtual vector-based model predictive CMV reduction method is further improved. Meanwhile, the variation rules of three-phase current in a single control period under the action of the virtual vectors are also analyzed in detail to provide a theoretical foundation for dividing the current sector more accurately. Simulation and experimental results show that the proposed method can not only achieve the CMV suppression, but also reduce the current harmonics significantly.
郭磊磊, 金楠, 李琰琰, 曹玲芝, 代林旺, 罗魁. 电压源逆变器虚拟矢量模型预测共模电压抑制方法[J]. 电工技术学报, 2020, 35(4): 839-849.
Guo Leilei, Jin Nan, Li Yanyan, Cao Lingzhi, Dai Linwang, Luo Kui. Virtual Vector Based Model Predictive Common-Mode Voltage Reduction Method for Voltage Source Inverters. Transactions of China Electrotechnical Society, 2020, 35(4): 839-849.
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2020, Vol. 35 
