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<p>In order to promote the implementation of carbon emission reduction targets, this paper proposes an optimal scheduling method of the electricity-heat-gas multi-energy system (MES) to stimulate carbon emission reduction, to improve the insufficient level of MES carbon capture and renewable energy consumption. Firstly, it utilizes the time-shift characteristic of oil and gas storage tanks for peak shaving and valley filling, and cooperates with power-to-gas conversion equipment to further improve the consumption level of wind power. Secondly, we consider the demand response of electricity and heat based on time-of-day pricing, and construct an economic dispatch model of multi-energy system with carbon trading mechanism. Finally, the model is solved using the CPLEX, and different scenarios are set up to verify the effectiveness of the optimization method proposed in this paper.</p>

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A Novel Optimization Method for Electricity-Heat-Gas Multi-Energy System Management Under Carbon Emission Reduction Requirements

  • 期刊论文

  • 发表日期：

    2025年5月1日

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  • Liunai Wang,
  • Yongqing Feng,
  • Saizu Liu,
  • Detai Pan,
  • Yunxuan Lin

摘要

In order to promote the implementation of carbon emission reduction targets, this paper proposes an optimal scheduling method of the electricity-heat-gas multi-energy system (MES) to stimulate carbon emission reduction, to improve the insufficient level of MES carbon capture and renewable energy consumption. Firstly, it utilizes the time-shift characteristic of oil and gas storage tanks for peak shaving and valley filling, and cooperates with power-to-gas conversion equipment to further improve the consumption level of wind power. Secondly, we consider the demand response of electricity and heat based on time-of-day pricing, and construct an economic dispatch model of multi-energy system with carbon trading mechanism. Finally, the model is solved using the CPLEX, and different scenarios are set up to verify the effectiveness of the optimization method proposed in this paper.