In recent years, micro grid technology including renewable energy generation has been developed rapidly. According to the problem that the energy efficiency of micro grids containing multiple new energy sources and new loads is low, this paper focuses on the optimal scheduling of hybrid energy micro grid, and considers the demand response and low-carbon benefits in the optimal scheduling model. In the optimization process, we take the microgrid which contains photovoltaic (PV), wind power, combined heat and power (CHP) and electric vehicles (EV) as the object of study, and construct the output models for each resource. The objective function aims to minimize the total cost including gas cost, operation and maintenance cost, electric power purchase from the main grid, depreciation charge for micro power and cost of carbon dioxide emission. Under the constraint conditions, we adopt the improved firefly algorithm (FA) to solve the objective function. With case study, we calculate the total operation cost of micro grid under different scenarios, analyze the low carbon benefits of each scheme, and seek the balance between economy and low carbon to obtain the optimal operation scheme of micro grid.