In order to solve the conflict of interest between the supply-side and the demand-side in the low-carbon scheduling of the integrated energy system (IES), this paper proposes a joint optimal scheduling model of supply-demand sides coordination considering multi-factor differential dynamic pricing mechanism. In the pricing strategy, the concepts of carbon emission penalty price, green certificate correction price and demand response correction price. The selling prices of different electric and thermal energy are set to provide consumers with the freedom to choose different types of energy. An intelligent joint scheduling center (IJSC) is created to manage pricing strategy and coordinated scheduling. The integrated energy operator (IEO) seeks to reduce operational expenditures, and the demand-side seeks to reduce energy procurement expenditures. The IJSC establishes a coordinated optimization objective function to generate the most efficient scheduling scheme, thereby balancing economic interests between supply and demand sides. The mixed integer linear programming (MILP) model is solved using the CPLEX. Case studies verified that the superiority of the multi-factor differential dynamic pricing strategy in the development of green economy.

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Supply-Demand Side Collaboration-Based Joint Optimization Dispatch Model for IES Considering Multi-factor Differential Dynamic Pricing Strategy

  • Zengxu Wang,
  • Chunhua Li,
  • Zeming Zhao,
  • Tianchi Zhang,
  • Xin Cheng

摘要

In order to solve the conflict of interest between the supply-side and the demand-side in the low-carbon scheduling of the integrated energy system (IES), this paper proposes a joint optimal scheduling model of supply-demand sides coordination considering multi-factor differential dynamic pricing mechanism. In the pricing strategy, the concepts of carbon emission penalty price, green certificate correction price and demand response correction price. The selling prices of different electric and thermal energy are set to provide consumers with the freedom to choose different types of energy. An intelligent joint scheduling center (IJSC) is created to manage pricing strategy and coordinated scheduling. The integrated energy operator (IEO) seeks to reduce operational expenditures, and the demand-side seeks to reduce energy procurement expenditures. The IJSC establishes a coordinated optimization objective function to generate the most efficient scheduling scheme, thereby balancing economic interests between supply and demand sides. The mixed integer linear programming (MILP) model is solved using the CPLEX. Case studies verified that the superiority of the multi-factor differential dynamic pricing strategy in the development of green economy.