IBES算法在并联Boost电路MPPT系统中的应用

针对光伏阵列在复杂光照条件下的多峰值特点及常规的最大功率追踪算法无法兼顾追踪精度和速度、存在振荡的问题，提出了一种改进秃鹰搜索算法；该算法在选择搜索空间时使用混沌映射对选择位置控制变化的参数进行优化，增加种群位置的多样性，提升算法的全局搜索能力；并在搜索空间猎物时，引入Levy飞行机制，对秃鹰新位置进行优化，增强了算法跳出局部搜索的能力；同时提出一种新型并联Boost电路，提高追踪的稳定性，减小振荡。通过Simulink建模仿真分析可知，结合改进的算法与新型并联Boost电路，在三种阴影情况下，追踪的成功率分别为100%、98%、96%，均高于原始算法，能够更快、更稳定地实现最大功率跟踪。

Application of IBES algorithm in parallel Boost circuit MPPT system

Aiming at the multi peak characteristics of photovoltaic arrays under complex illumination conditions and the problems that the conventional maximum power tracking algorithm cannot take into account the tracking accuracy and speed, and there are oscillations, an improved vulture search algorithm is proposed. In this algorithm, chaotic mapping is used to optimize the parameters of location control change when selecting search space, increase the diversity of population location and improve the global search ability of the algorithm. When searching space prey, Levy flight mechanism is introduced to optimize the new position of condor, which enhances the ability of the algorithm to jump out of local search. A new parallel Boost circuit is proposed to improve the stability of tracking and reduce the oscillation. Through Simulink modeling and simulation analysis, it can be seen that combined with the improved algorithm and the new parallel Boost circuit, the tracking success rate is 100%, 98%, 96% respectively in the three shadow cases, which are higher than the original algorithm, and can achieve the maximum power tracking faster and more stable.