分布式光伏发电系统多峰值MPPT优化研究

针对实际应用中环境复杂性导致光伏阵列的输出呈现多峰值现象,而传统控制方法在此情况下存在无法持续高效的跟踪到最大功率点的难题,将优化的多峰值支持向量机函数和具备快速收敛特性的猫群算法相融合,提出一种基于自适应权重迭代收敛的改进型猫群算法(IMCGA),并用于解决局部遮阴情况下的多峰值寻优问题,从而实现太阳能发电系统的最大功率跟踪功能。通过搭建光伏电池的数学模型,分析局部遮阴情况下光伏电池的多峰值输出特性;通过详细分析IMCGA智能算法中自适应权重和变异算子的优化构造,阐述IMCGA算法在局部遮阴的光伏系统最大功率点跟踪的实现过程。最后,通过与一系列传统控制算法进行对比仿真实验,显示所提出控制算法的优越性。

Research on multi-peak MPPT optimization of photovoltaic power generation system

Aiming at the output of photovoltaic arrays appears multi-peak caused by the complexity of the environment in practical applications,the traditional control methods have difficulty in tracking the maximum power point of multi-peak targets.This paper combines the optimized multi-peak support vector machine function with the cat group algorithm with fast convergence characteristics,and proposes an improved cat group algorithm.The algorithm is used to solve the multi-peak optimization problem in the case of partial and hence realize the maximum power tracking function of the solar power system.By constructing a mathematical model of photovoltaic cells,the multi-peak output characteristics of photovoltaic(PV)cells under local shading conditions are analyzed.By analyzing the optimized structure of adaptive weights and mutation operators in IMCGA intelligent algorithm,this paper elaborates the implementation process of the IMCGA algorithm in maximum process point tracking of the shading photovoltaic system.Finally,the superiority of the proposed control algorithm is verified by simulation experiments.