摘要
在光伏发电系统中,光伏电池的利用率除了与光伏电池的内部特性有关外,还受外界环境(如光照强度、负载和温度等因素)的影响。在不同的外界条件下,光伏电池可以工作于不同且唯一的最大功率点(Maximum Power Point,MPP)。应通过调节使光伏电池运行在MPP,最大限度地将光能转化为电能。基于已有研究提出了基于功率预测的变步长扰动最大功率点跟踪方法,并在Matlab/Simulink环境下进行了仿真验证。仿真结果表明在日照强度迅速变化时,与变步长扰动观测法相比,所提方法可以较快地跟踪到MPP且波形抖动非常小,有效提高了系统的跟踪速度和精度,并且能够保证实际电压跟随环境改变后的理论最大功率点的电压。
In the photovoltaic power generation systems, the use ratio of photovoltaic battery is subjected to the internal characteristic of photovoltaic battery and external environment such as light intensity, load and temperature. In different extemal conditions, photovoltaic battery works in different and sole maximum power point （MPP）. Measures should be taken to make photovoltaic battery run at the MPP, transforming as much light energy into electrical energy as possible. Based on the existing research, the variable step size disturbance maximum power point tracking method based on power prediction was proposed and tested in the Matlab/Simulink environment. The simulation results show that when the sunshine intensity rapidly changes, the proposed method can quickly track to the MPP with little waveform jitter compared with the variable step size disturbance observation method. The proposed method effectively improves the tracking speed and precision, and can guarantee the actual operating voltage changes with the theoretical value of the voltage of MPP.
出处
《电源技术》
CAS
CSCD
北大核心
2014年第7期1291-1294,共4页
Chinese Journal of Power Sources
关键词
光伏发电系统
最大功率点跟踪
扰动观测法
功率预测
变步长
photovoltaic power generation system
maximum power point tracking
disturbance observation method
power prediction
variable step size
