一种改进INC和MPC的光伏最大功率点跟踪算法

最大功率点跟踪(MPPT)常用于在光伏发电系统中获取最大的功率输出。针对光伏系统最大功率点跟踪过程中存在动态响应速度和稳态跟踪精度难以兼顾的问题,提出了一种改进电导增量法(INC)结合模型预测控制算法(MPC)的光伏发电系统最大功率点跟踪技术。利用改进电导增量法获取光伏系统下一时刻的电流参考值,与模型预测控制器获取的电流值相比较,通过建立和评价系统两步长模型指标函数,达到MPPT快速跟踪的目的。仿真结果验证了该方法的有效性。

A Photovoltaic MPPT Based on Improved INC and MPC Algorithm

Maximum Power Point Tracking (MPPT) is commonly used in photovoltaic power generation system to obtain the maximum power output. For the photovoltaic system maximum power point tracking more difficult to get the response speed and steady-state tracking accuracy at the same time, a novel maximum power point tracking (MPPT) approach was proposed, which was based on an improved ncremental conductance algorithm (INC) and model predictive control (MPC) algorithm. First, the method of MPPT based on a improved ncremental conductance algorithm was used to predict the current of the system at the next moment, offering the model predictive controller a reference value. A two-step model cost function J was defined to predict the state of switch tube in the boost circuit. In this way, the PV generation system is able to track the maximum power point both rapidly and steadily. The simulation results have substantiated the strategy's feasibility and advantages over the traditional method.