基于改进PSO的局部阴影下光伏阵列MPPT控制

光伏阵列在局部阴影情况下,其功率-电压曲线将呈现多峰值特征,针对传统粒子群算法在最大功率点跟踪时存在易陷入局部最优、收敛速度慢等问题,采用一种改进的粒子群算法,在粒子群算法中引入自适应调节的惯性权重和学习因子,使系统快速、精确地搜索到最大功率点。通过仿真验证了所采用的算法在不同阴影条件下能够提高收敛速度,快速追踪到最大功率点,避免陷入局部最优。

MPPT Control of Photovoltaic Array Under Partial Shade Based on Improved PSO

The power-voltage curve of photovoltaic arrays and the partial shade is characteristic of multiple local peak value.Traditional particle swarm optimization algorithm is prone to falling into local maximum and slowing the convergence when it tracks the maximum power point.If the improved PSO program is used,which adds to the adaptive inertia weight and learning factor,the system can quickly and accurately search the maximum power point.The simulation results show that the improved PSO algorithm can track the maximum power point quickly,thus avoiding falling into the local maximum.