基于CSA-FPI算法的光伏发电MPPT仿真研究

对光伏阵列进行最大功率点跟踪控制(Maximum Power Point Tracking,简称MPPT),是提高光伏发电系统输出功率的有效措施之一。文章以光伏阵列非线性输出特性为切入点展开研究,在分析了常规算法的优缺点基础上,针对其在最大功率点处(MPP)动态和稳态性能不佳等问题,提出了一种基于布谷鸟搜索算法(CSA)和模糊PI(FPI)控制相结合的光伏阵列MPPT算法。在MATLAB/Simulink下进行了仿真建模,仿真结果表明该方法能够迅速准确地跟踪光伏阵列的最大功率点,防止算法跟踪方向误判情况的发生,具有快速跟踪性和鲁棒性;同时实验结果也证实了上述算法的正确性和有效性。

Simulation study of photovoltaic power generation in Maximum Power Point Tracking based on CSA-FPI algorithm

Taking the maximum power point tracking (MPPT) of photovoltaic system is one of the most effective ways to increase the output power. As the starting point of research on non-linear characteristics of PV model, analysis of the advantages and disadvantages of the conventional algorithm, poor dynamic and steady-state performance of the maximum power point (MPP), a kind of MPPT algorithm based on cuckoo search algorithm (CSA) and fuzzy PI (FPI) control for photovoltaic power is proposed in this paper. A simulation model is established in MATLAB/Simulink. The results indicate that the method can quickly and accurately track the MPP of photovoltaic system and prevent the occurrence of the algorithm to track the misjudging direction of the situation, show fast predictability and good robustness, also the experimental results confirm correctness and validity of the proposed algorithm.