【摘要】 针对多传感器使用降低系统可靠性及传统PI光伏MPPT控制策略动态性能差的问题，提出了一种基于扩张状态观测器的光伏模型预测MPPT控制策略。构造了电压、电流扩张状态观测器，实现电压、电流实时在线估计，减少了传感的使用；结合扰动观察法及模型预测控制策略，以光伏输出电压为控制对象，设计成本函数实现光伏MPPT控制；搭建了基于MATLAB/Simulink的光伏系统模型进行对比验证。结果表明，扩张状态观测器能够精确的实现电压、电流实时在线估计，代替电压电流传感器，提升系统的可靠性；光伏模型预测MPPT控制策略比传统PI控制策略具有更强的鲁棒性和更好的动态性能。更多还原

【Abstract】 Aiming at the problems of multi-sensor use to reduce system dependability and slowly dynamic performance of traditional PI PV MPPT control, a PV model predictive control(MPC) MPPT strategy based on an extended state observer(ESO) is proposed. The ESO of voltage and current is constructed to realize the online estimation of voltage and current, to reduce the use of sensor. The cost function is designed to realize the PV MPPT control, in which the PV output voltage is used as the control object and combining the perturbation observation(P&O) method and model predictive control strategy. The PV system model based on MATLAB/Simulink is built for simulation verification. The result shows that the ESO can accurately realize the real-time online estimation of voltage and current instead of the voltage and current sensors to improve the dependability of the system, and the PV MPC MPPT control strategy has stronger robustness and faster dynamic performance than the traditional PI control strategy.更多还原