基于改进BA算法的光伏发电系统MPPT优化控制

为优化光伏阵列在部分遮蔽情况下的多峰值MPPT控制,保证光伏发电系统实时功率的最大输出,提出了基于改进BA算法的最大功率追踪控制方法,即在基本BA算法的基础上,融入了小生境技术的共享机制与排挤策略,减少相似个体数量,从而增加了BA算法在迭代过程中的种群多样性,提高了BA算法在MPPT控制中的全局搜索能力,增强了最大功率追踪的稳定性,并将该算法与PSO、PO算法在不同光照及温度条件下的MPPT控制效果进行了仿真试验对比。结果表明,与传统算法相比,改进的BA算法具有更好的追踪效果,不仅避免了光伏系统在遮蔽情况下输出功率陷入局部最大值的问题,且提高了发电效率。

MPPT Optimization Control of Solar PV Power System Based on Improved Bat Algorithm

In order to optimize the multi-peak MPPT control of photovoltaic array under partial occlusion and ensure the maximum output power of PV system, a maximum power point tracking control method based improved BA algorithm was proposed. On the basis of the basic bat algorithm (BA), the sharing mechanism and crowding strategy of niche technology were integrated to reduce the number of similar individuals, which increases the population diversity of the BA in the iterative process, improves the global search ability of the BA in the MPPT control, and enhances the stability of the maximum power tracking. And then the simulation of MPPT control effect by the improved BA, P&O and PSO under different light and temperature conditions were compared respectively. The results show that the improved BA has better tracking performance compared with the traditional algorithm, not only it avoids the output power of the photovoltaic system trapping into local maximum under shading condition, but also improves the efficiency of power generation.