Maximum power point tracking method based on fuzzy control and particle swarm optimization

The invention discloses a maximum power point tracking method based on fuzzy control and a particle swarm algorithm. The method specifically comprises the steps that fuzzy control is added on the basis of a standard particle swarm algorithm to disturb the position, and a photovoltaic characteristic curve is simplified into a piecewise constant form; by changing a particle updating mode and combining fuzzy control, the algorithm gives consideration to search speed and precision. In addition, the algorithm is restarted according to the change of the sum of the bypass diode currents of the photovoltaic cells, and the conversion efficiency of the photovoltaic array is improved. 本发明公开了一种基于模糊控制和粒子群算法的最大功率点跟踪方法。该方法具体为：在标准粒子群算法的基础上中加入模糊控制对位置进行扰动，将光伏特性曲线化简为分段常数的形式。通过改变粒子更新的方式，结合模糊控制，使算法兼顾搜寻速度与精度。此外，本发明根据光伏电池旁路二极管电流之和的变化重启算法，提高光伏阵列的转化效率。