改进遗传算法在MPPT中的应用研究

Research on aMaximum Power Point Tracking with DRP Based on Improved Genetic Algorithm

为了提高光伏电池的利用率,需对光伏电池的最大功率点进行准确快速的追踪控制。根据光伏电池的非线性特性,建立光伏阵列的数学模型。针对基于遗传算法的占空比扰动法的不足,提出了一种基于改进遗传算法的MPPT法,并在Matlab下进行了建模与仿真,实验结果表明,该算法具有良好的搜索速度,能使系统稳定工作在最大功率点。

Abstract： It is necessary to track the maximum power point of splar cell array rapidly and accurately to improve its utilization.Accord- ing to the non-linear characteristics of photovoltaic cells, this paper establishes a mathematical model of the PV array. Aiming at the lack of traditional duty ratio perturbation, a duty perturbation based on improved genetic algorithm is proposed.This maximum power point tracking method is established and simulated with Matlab/Simulink. Simulation results show that the algorithm has a good search speed; it can work stably at the maximum power point.