As the pumped storage (PS) units have the characteristics of low life cycle cost and environmental friendliness, in order to reduce operation costs and pollutant gas emissions of micro-energy grid (MEG), a low-carbon and economic optimal dispatching method of MEG considering PS and comprehensive demand response (DR) is proposed in this paper. First of all, the mathematical models of photovoltaic cell, wind turbine (WT), gas turbine and PS unit in MEG are finely modeled; Then, considering the PS unit as an electric energy storage element and the DR strategy based on price and incentive, an optimal dispatching model is established with the minimum operation costs and pollutant gas emissions as the optimal objectives; Furthermore, the 2m-point estimation method (2m-PES) is used to deal with the uncertain parameters such as illumination intensity, wind speed and power load in the MEG, and the multi-objective scheduling optimization model of MEG is solved by chemical reaction algorithm. Finally, based on the simulation example, the proposed method is analyzed, and compared with the traditional genetic algorithm (GA), particle swarm optimization (PSO) algorithm and grey wolf algorithm (GWG), which proves the superiority and effectiveness of the proposed method.INDEX TERMS pumped storage; demand response; photovoltaic cell; micro-energy grid