Optimal scheduling of virtual power plants considering load refinement

This paper researches on the optimal scheduling of the virtual power plant after the refined classification of user loads. Firstly, the user controllable load is classified according to the characteristics of load power consumption and the model of fine classification of load is established. Secondly, the user load is analyzed from the perspective of the demand side and the optimal scheduling model of different types of loads participating in demand response<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[16]</sup> is constructed with the goal of maximizing the revenue of the virtual power plant, so the load curve is smoothed by transferring or cutting part of the load, and the reasonable allocation of the energy storage and the gas turbine power, making the two-way interaction between the power generation side and demand side. Finally, the simulation results show that the fine classification of loads to participate in demand response can reasonably reduce the unbalanced output of virtual power plants, lower cost of virtual power plants in the power market to penalize the shortage of electricity.