改进的低损耗并网逆变器双矢量模型预测电流控制方法

针对传统单矢量模型预测控制负载电流谐波含量大和多矢量模型预测控制开关频率高、功率损耗大的问题，在给出传统双矢量并网逆变器模型预测电流控制方法的基础上，提出改进的低损耗并网逆变器双矢量模型预测电流控制方法。该方法结合无差拍控制思想计算目标参考电压矢量，以电压矢量为目标函数，并通过优化电压矢量选择，减少了控制算法计算量，降低了负载电流谐波含量、逆变器开关频率和功率损耗，从而提高了并网逆变器的运行效率。通过仿真和实验对比研究了传统单矢量法、传统双矢量法和所提方法的控制效果，并验证了所提方法的有效性。

Improved two-vector-based model predictive current control method for grid-connected inverter with low loss

In order to solve the problem of the large harmonic content of the load current for traditional single-vector-based model predictive control and the high switching frequency and power loss for multi-vector-based model predictive control, an improved two-vector-based model predictive current control method for grid-connected inverter with low loss is proposed on the basis of the conventional two-vector-based model predictive current control method for grid-connected inverter. In this method, the reference voltage vector is calculated based on dead-beat-solution, based on which a voltage-vector-based cost function is designed. Through the optimization of voltage vector selection, the proposed method reduces the calculation amount of control algorithm, the harmonics of the load current, the switching frequency and power loss, and improves the operating efficiency of grid-connected inverter. The control performances of the conventional single-vector-based model predictive control method, the conventional two-vector-based model predictive control method and the proposed method are compared by simulation and experiment, which verifies the effectiveness of the proposed method.