Aiming at the traditional Maximum Power Point Tracking (MPPT) technique, which is easy to fall into local optimum and fail under complex shading conditions, and the MPPT control technique based on meta-heuristic algorithm has the disadvantages of slow convergence speed and large steady-state power oscillation, an Improve Grey Wolf Optimization Algorithm (IGWO) and Incremental Conductance Method (INC) are combined in a two-layer MPPT control algorithm model. In the upper layer, the traditional Grey Wolf Optimization Algorithm (GWO) is improved by using the nonlinear convergence factor and differential evolutionary algorithm to quickly approximate the global maximum power point of the P-U, and INC is introduced in the late convergence stage of the lower layer to perform an accurate search of the MPP. Finally, by comparing with the improved cuckoo algorithm (ICS), it is verified that this hybrid MPPT control algorithm takes into account the speed and accuracy of tracking, and it is robust in complex situations.