The invention discloses a multi-energy system collaborative scheduling method and device based on electric car access, and relates to the field of smart power grids. The method includes the steps of dividing electric car clusters according to statistical data of the time of the electric car accessing to a power grid and the time leaving the power grid, obtaining a current scheduling model of electric car clustering according to probability density and charging demand information of each electric car cluster accessing to and leaving the power grid in a corresponding period to build a multi-energy system cooperative scheduling model, using a multi-group balanced collaborative search algorithm to obtain energy supply cost and an optimal charge and discharge strategy with the lowest pollutantemission, and charging and discharging each electric car cluster. The method and device can reduce the energy supply cost, reduce the pollutants, improve the operation status of the multi-energy system, and prevent unnecessary faults from occurring; meanwhile, in a process of optimizing a charging and discharging mode, energy storage scheduling in the smart power grid is also optimized to suppressthe uncertainty of the smart power grid and reduce the construction cost of the smart power grid.