摘要
太阳能板输出功率具有非线性特性,易受温度、光照强度、负载等多种因素影响。为了提高太阳能板的利用效率,需要对其进行最大功率点跟踪(MPPT)。这里以"扰动法"为基础,提出了自学习MPPT控制方法,并构建MPPT控制器和普通控制器对蓄电池充电的实验系统进行充电实验,其结果表明基于扰动法的自学习MPPT控制方法能够实现太阳能板的最大功率输出,验证了该方法的可行性及有效性。
Output power of solar panels with nonlinear characteristics is affected by temperature,light intensity and load.In order to improve photoelectric conversion efficiency,maximum power point tracking（MPPT） is required.Self-learning MPPT method is proposed which is based on perturbation and observation method.The charging experimental system of normal controller and MPPT controller is constructed.Experimental results show that the self-learning MPPT control method based on perturbation and observation method achieves maximum power output of solar panels,verify the feasibility and effectiveness of the self-learning method.
出处
《电力电子技术》
CSCD
北大核心
2011年第9期40-42,共3页
Power Electronics
基金
国家自然科学基金青年基金(61005091)
国家高技术发展计划(863计划)项目(2009AA11A113)~~
关键词
光伏发电
最大功率点跟踪
自学习
扰动法
photovoltaic generation
maximum power point tracking
self-learning
perturbation and observation method
