Abstract—

In this work, a novel maximum power point tracking algorithm (MPPT) based on Model Predictive Control (MPC) for photovoltaic systems is proposed. The considered system is composed by a photovoltaic panel connected to a load using a flyback converter. The proposed approach combines MPC with a modified Incremental Conductance algorithm with a variable step size, verified in this work to be more efficient than the Perturb and Observe algorithm in tracking maximum power point, making the PV system to generate more energy. Computational simulations are carried out to compare the performance of the considered MPPT algorithms, analyzing the output voltage and output power behavior at the photovoltaic panel. The results of the simulations show that the proposed algorithm provides better performance for the photovoltaic system than the main MPPT algorithms in the literature.

摘要-

在这项工作中，提出了一种基于光伏系统模型预测控制（MPC）的新型最大功率点跟踪算法（MPPT）。所考虑的系统由使用反激式转换器连接到负载的光伏电池板组成。所提出的方法将 MPC 与具有可变步长的改进增量电导算法相结合，在这项工作中验证在跟踪最大功率点方面比扰动和观察算法更有效，使光伏系统产生更多的能量。进行计算模拟以比较所考虑的 MPPT 算法的性能，分析光伏面板的输出电压和输出功率行为。