Aiming at the problem that the traditional Maximum power point tracking method is easy to fall into local optimal and lead to large power oscillation range in photovoltaic power generation system under local shade, an improved algorithm based on Coot chicken was proposed. The photovoltaic MPPT method of ICOOT. Based on the traditional Coot bird optimization algorithm, the algorithm introduced the logistics-sine-cosine chaotic mapping factor into the chain movement of the population follower, so that the chain movement became chaotic movement. The algorithm has the ability to jump out of the local optimal solution; The current optimal position after each optimization is modified by Cauchy, and the optimal update and replacement before and after the optimization are compared to increase the global search ability of the algorithm. Under four lighting modes, ICOOT and MPPT of the other three algorithms were simulated and analyzed. The results show that the tracking speed of the proposed algorithm is 0.14 s, 1.13 s, 0.13 s, 1.07 s, and the system stability rate is 99.43%, 99.34%, 98.73%, 98.80%. In summary, ICOOT can effectively solve the problem that traditional algorithm is easy to fall into the local maximum power point, which leads to slow optimization speed and large power oscillation when used for local concealed MPPT of photovoltaic power generation.