Abstract:Under the influence of partial shading, the power and voltage characteristic curve of PV array presents a multi-peak shape, which leads to the failure of traditional MPPT algorithm.Thus an improved African vultures optimization algorithm (AVOA)is proposed for MPPT photovoltaic control.Firstly, Tent chaotic mapping is introduced to make the population position more diverse and avoid premature convergence.Then, the update strategy of the algorithm is optimized in the exploration and development stage to reduce the waste of computing power and improve the search rate.Finally, in the MATLAB2022b/Simulink environment, the proposed algorithm is used to simulate three groups of conditions under different irradiation conditions.The results show that the algorithm has the characteristics of high optimization efficiency and fast convergence rate in the multi-peak MPPT control, which can effectively improve the utilization rate of photovoltaic energy in the complex shading environment.