Abstract: In recent years,due to the disorderly charging of large-scale electric vehicles and the power fluctuation of a high proportion of renewable energy,there are problems such as large load peak valley difference,high network loss and high distribution network operation cost in power grid. This paper proposes a mobile energy storage scheduling method based on the hybrid optimization algorithm of firefly and particle swarm optimization. The mobile energy storage models of electric vehicles,mobile energy storage vehicles and hydrogen fuel power generation vehicles are respectively established,and the multi-objective functions of the load peak valley difference,distribution network loss and distribution network operation cost are established. In order to reduce the probability of ranking abnormality,Tent chaotic map,Cauchy mutation operator and the fuzzy adaptive inertia weight in the firefly algorithm are introduced to solve the optimal scheme for multi type mobile energy storage participating in the scheduling. The results show that the load peak valley difference,network loss and distribution network operation cost can be effectively reduced by the proposed method.