分区遗传算法在MPPT跟踪中的应用

Application of subarea genetic algorithm to photovoltaic cell maximum power point tracking

光伏电池输出特性与温度、光强等环境因素、负载及电池的老化程度有关,最大功率点也随之变动。应用分区遗传算法进行最大功率点跟踪,可以使光伏输出功率始终保持在最大功率点。分区遗传算法先对光伏电池的输出电压进行分区,找出最大功率点所在区,然后在该区内应用遗传算法找到最大功率点所对应的输出电压。模拟实验表明,分区遗传算法可以取得较好的跟踪效果。

Solar panels I-V curves are related to environmental conditions such as irradiance,temperature,load and degradation level,on which the change of maximum power point depends.Application of subarea genetic algorithm can always make the solar cell modules work in maximum power point.First,the voltage subarea is processed by genetic algorithm to find the region with maximum power point.Second,output voltage of maximum power point is found in the subarea by using the genetic algorithm.Simulation shows that the subarea genetic algorithm can bring good tracing effect.