Optimal scheduling of virtual power plant considering demand side response

In this paper, a virtual power plant model considering demand side response is proposed. Considering the influence of price demand-side response on virtual power plant, an optimal scheduling control method was proposed for virtual power plant, which included demand-side response, wind power, photovoltaic, gas turbine and energy storage equipment. Firstly, a mathematical model was built with the maximum net income of virtual power plant as the objective function. Secondly, a reasonable operation strategy was designed. The demand-side response strategy was optimized based on wind-landscape output prediction. Thirdly, the gas turbine and energy storage equipment coordinated the output allocation to compensate the deviation between the actual output and the predicted output of the scenery. Finally, through the simulation analysis of the example, the results show that the consideration of the demand-side response based on price in the virtual power plant can standardize the user's electricity consumption. And the load peaking and valley filling effect is obvious. The designed operation strategy has coordinated the power distribution of various energy sources and maximized the income of the virtual power plant.