基于遗传算法的太阳能电池最大功率点研究

采用1stOpt中的遗传算法对太阳能电池直流侧动态模型进行仿真,较精确地得到了太阳能电池在不同光照强度下最大功率点处电压值和功率值,解决了其他仿真软件初始值设置困难的问题。1stOpt较其他仿真软件有较强的寻优能力,它从任一初始值开始均能得到较为精确的优化结果,避免了原来迭代过程中初始值选取不当带来的种种麻烦。然而,遗传算法在进化过程中,始终保持最好的染色体,进化完成得到最优化结果。实验结果与仿真结果非常接近,它验证了该方法的可行性。

The Maximum Power Point Study of Solar Cell based on Genetic Agorithm

Using the Max Inherit Optimization(MIO) of 1stOpt simulation,the DC dynamic model of solar cell was simu-lated,and voltage and power at maximum power point under different illumination were received accurately,and the diffi-culty of choosing initial value in other simulation softwares was solved.The capability in search of optimization of 1stOpt is stronger than other simulation softwares,and it can find relatively accurate result from any initial value,avoiding the trou-bles in choosing initial value brings.In the process of evolution,genetic agolrithm can always retain best chromosome until evolution completed to find optimization result.The simulative and experimental results are extremely close,thus the feasibility of the model is verified.