Aiming at the fact that traditional control algorithm cannot continuously and accurately track the maximum power point under the condition of partial shading

a strategy for photovoltaic systems based on improved sheep behaviors optimization was proposed.Disturbance operator

reverse position and adaptive factor were introduced in sheep behaviors optimization to enhance the local development ability

and improve the optimization accuracy of the algorithm.The experimental results under the conditions of uniform illumination

partial shading and variable irradiation show that the improved sheep behaviors optimization can steadily track the maximum power point under different environmental conditions

and the algorithm has greater advantages in convergence time and convergence accuracy

verifying the feasibility of this algorithm in the maximum power point tracking control.