太阳能硅光电池最大功率点跟踪算法的仿真及试验

摘要

目前,中国的太阳能光伏发电应用已渗透到工、农业生产的各个领域.由于太阳辐射的波动性和随机性,太阳能硅光电池的光电转换效率并未得到最大化利用,波动引起的系统运行状态的瞬时变化也容易对作业设备造成一定损耗.为解决这一问题,本研究选取常用的太阳能硅光电池为研究对象,提出一种基于扰动观察的太阳能硅光电池最大功率点跟踪检测算法并应用于太阳能发电装置,通过与传统工作方式进行对比试验,试验结果表明采用该方法电能输出功率提高11％,较好地抑制了电能输出的波动性.%China Nowadays, solar photovoltaic energy applications has been penetrated into all areas of industrial and agricultural manufacturing in China. Due to fluctuation and randomness of solar radiation, solar efficiency was not fully utilized and operation devices were vulnerable to damages because of unstable power supplies. In this paper, regular silicon solar batteries were studied and the intelligent detection technology based on perturbation and observation was employed to track maximum power point of silicon solar battery and applied to the solar power equipment. By comparing the traditional method and the (maximum power point tracking) MPPT method, the experiment indicated that power outputs using MPPT method improved 11% compared with that by traditional method and suppressed power supply fluctuation effectively.