• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (3): 25-35.doi: 10.12204/j.issn.1000-7229.2023.03.003

• Integrated Multiple Energy and Information Technologies in Enabling Planning and Operation of Energy Internet?Hosted by Associate Professor LIU Yang and Dr. HAN Fujia? • Previous Articles     Next Articles

Optimal Scheduling of Park Integrated Energy System with P2G Waste Heat Recovery and Demand Response under Carbon-Green Certificate Trading Mechanism

YUAN Xiyao1(), WANG Guantao1(), ZHU Ruoyuan1(), BAI Xingzhen1(), GE Leijiao2(), LI Guhui1()   

  1. 1. School of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China
    2. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
  • Received:2022-11-23 Online:2023-03-01 Published:2023-03-02
  • Supported by:
    National Natural Science Foundation of China(52277118);State Key Laboratory of Grid Security and Energy Conservation(YDB51202201356)


In order to further promote the renewable energy consumption and carbon emission reduction of the park integrated energy system (PIES), and optimize the total operation cost of the PIES, this paper proposes a PIES optimization scheduling model considering the recovery of waste heat from power to gas (P2G) and demand response under the carbon-green certificate trading mechanism. Firstly, the stepwise carbon trading mechanism and green certificate trading system are considered to promote the consumption of renewable energy and carbon emission reduction. Secondly, the P2G equipment to recover waste heat is introduced, and the electric-heat-gas coupling relationship is optimized to improve the system's renewable energy consumption and carbon emission reduction level. Then, a demand-side response model including reduced, transferred and substituted loads is established to guide users to change their energy use mode from high energy consumption and high pollution to low-carbon and sustainable. Finally, the PIES optimization scheduling model is constructed to minimize the sum of energy purchase cost, wind curtailment penalty cost, demand response compensation cost, stepped carbon trading cost and green certificate trading revenue. The simulation results show that the model can effectively promote the renewable energy consumption and carbon emission reduction and reduce the system operation cost.

Key words: park integrated energy system (PIES), power to gas (P2G), demand response, carbon trading, green certificate trading

CLC Number: