摘要
目前光伏电池转换效率较低,为提高能量利用效率,需要进行最大功率点跟踪(MPPT)控制。针对常规MPPT法存在的快速性差、精度低、适应性差的缺陷,提出了一种改进单神经自适应控制的算法,仿真结果表明该方法不仅可以快速准确地跟踪到最大功率点,而且在外界环境变化下具有较强的适应性。
Currently the conversion efficiency of PV ceil is poor. The maximum power output tracking for MPPT is needed to improve energy efficiency. To deal with the defects of poor rapidity, low precision and poor adaptability of the conventional MPPT, a method based on improved single neuron adaptive controller is proposed. The simulation results show that the method can track the maximum power point rapidly and accurately and has a strong adaptability to the environment change.
出处
《江苏电机工程》
2015年第1期33-35,共3页
Jiangsu Electrical Engineering
