in the context of the Energy Internet, the traditional thermal power generation is needed to clean energy as a substitute for the destruction of the environment. Wind power because of its economic and environmental protection has been widely used, and the growing wind power access to the power grid to the economic and stable operation of the power system has brought serious challenges. This article from the environmental cost and demand response two aspects, comprehensive consideration of environmental, power losses and load transfer for the influence of fluctuations of wind power, and demand response in improving wind power consumption and reduce environmental pollution, stabilize the load fluctuation effect. In order to solve the model, a particle swarm optimization algorithm is proposed. The example shows that considering the demand response and environment cost can effectively reduce the cost and abandon the wind.