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The power supply in many provinces is in short supply during peak load period, and the largescale entry of new energy into the grid brings new problems to the safety and economic operation of the grid. Under the mechanism of time-of-use electricity price, the virtual power plant participates in the grid dispatching by integrating distributed new energy and demand-side resources, which can effectively participate in the peak load clipping and valley filling of the grid and suppress the load fluctuation of the grid. This paper builds a VPP economic optimization scheduling model based on TOU electricity price, and uses particle swarm optimization algorithm to get the output of each energy source of VPP. The simulation results show that the model is reasonable and economical.

Research on Virtual Power Plant Optimal Scheduling Based on TOU Electricity Price