Abstract: With the increasing penetrating of new energy, power grid encounters a serious problem of wind-photovoltaic power curtailment in some areas of China. The conventional thermal power units that emit large amount of pollutants seriously affect the ecological environment and restrict the sustainable development strategy. In view of environment benefits, optimizing the capacity of wind-photovoltaic power accommodation can not only reduce power generation cost, but also improve the accommodation capacity of new energy and significantly reduce pollutants emissions. In this paper, a multi-objective optimal dispatching model is built by taking the economic cost of power generation, new energy accommodation and pollutant emissions as the objective function, in which each objective function is fuzzified through defining objective membership function, and the multi-objective optimization problem is transferred into a single objective nonlinear programming problem by means of maximizing satisfaction index technique. Computation results show that the multi-objective fuzzy optimal dispatching model can balance the generation cost, new energy accommodation and environmental benefits of pollutant emissions, which will be the reference for energy saving and emission reduction, and sustainable development strategy.