The electrical power output of photovoltaic array has multi-peak characteristics under partial shading conditions,and changes with the external environment.To achieve efficient electricity output,the Multi-Verse optimization (MVO) algorithm which has outstanding advantages in solving low dimensional and small-scale optimization problems is used to carry out maximum power point tracking (MPPT), and integrating multiple strategies to improve the defects,which increases the diversity of the universe population by initializing the universe population by Latin hypercube sampling sampling strategy and implementing Cauchy mutation on the universe randomly swapped according to roulette strategy.Meanwhile,the Levy Flying Quantum Particle swarm optimization (QPSO) algorithm is introduced, and the wormhole existence probability and travel distance rate are adaptively adjusted to enhance the global exploration and local development capabilities of the algorithm.The Matlab simulation results show that the algorithm reduces MPPT time by more than 45% and get higher MPPT accuracy compared with other algorithms,so it has better MPPT performance,and can improve the efficiency of photovoltaic power generation efficiency.