Abstract: According to the operation characteristics of each dispatch unit, a multi-objective hierarchical economic dispatch strategy for microgrid（MG） with load level, source-load level and source-grid-load level is proposed. Firstly, considering the driving habits of the electric vehicle（EV） users, the energy storage characteristics of EVs is used at the load level to adjust the original load fluctuation of the MG. Then the wind and solar power is preferentially used at the source-load level to support the load consumption of MG. Meanwhile, multi-objective particle swarm optimization（MPSO） algorithm is adopted to maximize the absorption of renewable energy and minimize the integrated operation cost of the source-load level by using energy storage unit and fully controllable EVs. Finally, the net load from the source-load level is absorbed at the source-grid-load level by the diesel engines and connection lines of the main grid, while the surplus wind and solar power is sold to the main grid to gain benefits, which has achieved the unification of the economy, efficiency and security benefits of the MG system and the main grid. A specific example is given to simulate and analyze the proposed strategy, and compared with random charging operation and non-hierarchical dispatching operation of EVs, which verifies the scientificity and effectiveness of the proposed strategy.