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.