Optimal Scheduling of Virtual Power Plants Considering Distributed Energy Storage and Demand Response

With the continuous expansion of the grid-connected scale of distributed renewable energy, the volatility and uncertainty of wind power and photovoltaic output have brought great challenges to the stable operation of the power grid. Considering the uncertainty of distributed energy storage charging and discharging and distributed power generation, and improving the absorption level of new energy in the power system, an optimal scheduling model of virtual power plant considering distributed energy storage and demand response is proposed. The model considers the operational constraints of distributed energy storage charging and discharging, takes the profit of total power generation as the optimization objective function, and uses the grid bacterial population drug migration algorithm to solve the optimization model. Finally, the effectiveness of the proposed model is verified by simulation examples. Keywords: distributed energy storage; virtual power plants; optimize scheduling; Demand response.