A model-based predictive direct power control for traction line-side converter in high-speed railway

In this paper, a model-based predictive direct power control is presented for traction line-side converter. The method adopts a discrete-time model of traction line-side converter in d-q reference frame to predict the future values of active and reactive powers. Then, the optimal switching state is selected by minimizing a cost function of powers, which is used to evaluate the power errors at next sampling time. Performance of the proposed method is compared with traditional transient direct current control (TDCC), which is widely adopted in CRH3 Electric Multiple Unit (EMU). The simulation experimental results show that the proposed method can perform better than TDCC.

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