Novel Model Predictive Control Method to Eliminate Common-mode Voltage for Three-level T-type Inverters Considering Dead-time Effects


Vol. 18, No. 5, pp. 1458-1469, Sep. 2018
10.6113/JPE.2018.18.5.1458


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 Abstract

This paper proposes a novel common-mode voltage (CMV) elimination (CMV-EL) method based on model predictive control (MPC) to eliminate CMV for three-level T-type inverters (3LT2Is). In the proposed MPC method, only six medium and one zero voltage vectors (VVs) (6MV1Z) that generate zero CMV are considered as candidates to perform the MPC. Moreover, the influence of dead-time effects on the CMV of the MPC-based 6MV1Z method is investigated, and the candidate VVs are redesigned by pre-excluding the VVs that will cause CMV fluctuations during the dead time from 6MV1Z. Only three or five VVs are included to perform optimization in every control period, which can significantly reduce the computational complexity. Thus, a small control period can be implemented in the practical applications to achieve improved grid current performance. With the proposed CMV-EL method, the CMV of the 3LT2Is can be effectively eliminated. In addition, the proposed CMV-EL method can balance the neutral point potentials (NPPs) and yield satisfactory performance for grid current tracking in steady and dynamic states. Simulation and experimental results are presented to verify the effectiveness of the proposed method.


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Cite this article

[IEEE Style]

X. Wang, J. Zou, Z. Dong, C. Xie, K. Li, J. M. Guerrero, "Novel Model Predictive Control Method to Eliminate Common-mode Voltage for Three-level T-type Inverters Considering Dead-time Effects," Journal of Power Electronics, vol. 18, no. 5, pp. 1458-1469, 2018. DOI: 10.6113/JPE.2018.18.5.1458.

[ACM Style]

Xiaodong Wang, Jianxiao Zou, Zhenhua Dong, Chuan Xie, Kai Li, and Josep M. Guerrero. 2018. Novel Model Predictive Control Method to Eliminate Common-mode Voltage for Three-level T-type Inverters Considering Dead-time Effects. Journal of Power Electronics, 18, 5, (2018), 1458-1469. DOI: 10.6113/JPE.2018.18.5.1458.