Multi-objective Optimization Scheduling Problem of VPP on Generation Side and Demand Side based on Time-of-use Electricity Price

This paper presents an optimization model with strong universality, which involves the cost model of the VPP internal generator set, the VPP internal elastic load demand model, the maximum self-supply model and the maximum benefit model in the optimization objective of VPP. In order to further explore the influence of the uncertainty on the generation side when large-scale new energy is connected to the power grid, the influence of the characteristics of the aggregated DG inside VPP on the scheduling results is further analyzed. Finally, the VPP scheduling model is designed to study how to effectively decide the combined operation of internal pumped storage and energy storage batteries under the guidance of VPP's participation in the market price mechanism, so as to achieve the optimal goal. The model is based on the actual data, and the particle swarm optimization algorithm is used to verify the validity and rationality of the model.