模型预测控制结合黄金分割点法的MPPT控制

MPPT control of model predictive control combined with golden section method

最大功率点跟踪是目前光伏发电技术的研究重点,针对传统最大功率点跟踪算法的不足,提出了一种模型预测控制结合黄金分割点法的最大功率点跟踪方法。首先利用黄金分割点算法得到最大功率的参考值,并结合模型预测控制预测出由输出功率构成的最优化性能指标函数,然后通过控制Boost变换器的开关管占空比,快速准确地跟踪光伏电池的最大功率点,最后运用MATLAB/Simulink仿真软件搭建光伏发电系统的最大功率点跟踪仿真模型,并利用仿真结果来验证模型预测控制结合黄金分割点法最大功率点跟踪方法的可行性。

Aiming at the shortcoming of the traditional maximum power tracking algorithm, the maximum power point tracking （MPPT） method is proposed, which combines the model predictive control with the golden section search. By using the golden section point algorithm to obtain the reference value of the maximum power, and combining the model predictive control to predict the optimal performance index function composed of the output power, and then the maximum power of the photovoltaic cell can be tracked quickly and accurately by controlling the duty cycle of the DC boost converter. Finally, the maximum power point tracking simulation model of photovohaic power generation system is built by using MATLAB/Simulink simulation software and the feasibility of the method is verified by the simulation results.