基于基因排序遗传算法的串联光伏组件MPPT研究

摘要

In the condition of partial shading,the series photovoltaic modules have a multi-peak power-voltage curve and it is hard to tracking the real maximum power point of the photovoltaic arrays by using traditional MPPT algorithm,which may fall into local optimization.Genetic algorithm can effectively solve this problem for its strong global optimization ability,but the performance of ordinary MPPT algorithm is not ideal because of low mutation rate.On the basis of increasing mutation rate,this paper makes the population evolve along the optimization direction through gene sequencing and as result get a faster convergence speed and a higher tracking precision.%在局部遮阴条件下,串联光伏组件的功率-电压曲线呈现多峰特性,传统的MPPT算法容易陷入局部最优,很难跟踪到真正的最大功率点.遗传算法具有很强的全局寻优能力,能够有效解决这一问题,但普通遗传算法变异率较低,最大功率点跟踪效果并不理想.在提高变异率的基础上,通过基因排序,使种群向最优方向进化,可以加快收敛并精确跟踪到最大功率点.