The virtual power plant (VPP) can aggregate various types of distributed energy resources. Considering the difficulty of allocating different flexible resources within a VPP, this paper proposes an optimal scheduling strategy for VPPs that accounts for multiple types of flexible resources. Firstly, a framework for a VPP incorporating multiple flexible resources is proposed. Secondly, an optimization scheduling model for the VPP is established, which includes wind turbines, photovoltaic units, gas turbines, energy storage systems, electric vehicles, and smart buildings. Thirdly, the model is verified through example simulations and scenario comparisons. The simulation results demonstrate that the proposed optimal scheduling model can make comprehensive use of various flexible resources, effectively improving both the economic benefits of the VPP and the stability of the power grid.

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Virtual Power Plant Optimal Scheduling Strategy with Multiple Types of Flexible Resources

  • Pei Wang,
  • Tianxiang Li,
  • Zibo Wang,
  • Ji Qiao,
  • Hong Zhu,
  • Wenlu Ji,
  • Yang Xu,
  • Qian Xiao

摘要

The virtual power plant (VPP) can aggregate various types of distributed energy resources. Considering the difficulty of allocating different flexible resources within a VPP, this paper proposes an optimal scheduling strategy for VPPs that accounts for multiple types of flexible resources. Firstly, a framework for a VPP incorporating multiple flexible resources is proposed. Secondly, an optimization scheduling model for the VPP is established, which includes wind turbines, photovoltaic units, gas turbines, energy storage systems, electric vehicles, and smart buildings. Thirdly, the model is verified through example simulations and scenario comparisons. The simulation results demonstrate that the proposed optimal scheduling model can make comprehensive use of various flexible resources, effectively improving both the economic benefits of the VPP and the stability of the power grid.