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Aiming at the problem of high carbon emission level due to the contradiction between supply and demand of electricity and heat in the integrated energy system(IES), the optimized low-carbon scheduling method of the integrated energy system considering the photovoltaic-thermal power plant is proposed. Firstly, this paper establishes a demand response model for photovoltaic-thermal power plants, and proposes a low-carbon index for the system. The model can effectively improve the rate of renewable energy consumption and enhance grid reliability. On this basis, the optimal total operating cost and the minimum carbon emission of the system are taken as the objective function, and the optimal scheduling model that takes into account the low-carbon index is constructed by combining the multi-energy flow operation constraints of the integrated energy system. Finally, the multi-objective particle swarm algorithm is used to analyze different scenarios. The results show that the total cost of the model is reduced by 31.90% and the carbon emission is reduced by 35.36%. It proves that the model proposed in this paper can effectively improve the system economy and reduce the overall carbon emission level.

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Low-Carbon Optimal Scheduling of an Integrated Energy System Considering a Concentrating Solar Power Plant Inclusion

  • 会议论文

  • 发表日期：

    2026年

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  • Xinxiang Wang,
  • Bin Qiu,
  • Kai Wang,
  • Haisong Luo,
  • Danqing Wang,
  • Tianxing Gao

摘要

Aiming at the problem of high carbon emission level due to the contradiction between supply and demand of electricity and heat in the integrated energy system(IES), the optimized low-carbon scheduling method of the integrated energy system considering the photovoltaic-thermal power plant is proposed. Firstly, this paper establishes a demand response model for photovoltaic-thermal power plants, and proposes a low-carbon index for the system. The model can effectively improve the rate of renewable energy consumption and enhance grid reliability. On this basis, the optimal total operating cost and the minimum carbon emission of the system are taken as the objective function, and the optimal scheduling model that takes into account the low-carbon index is constructed by combining the multi-energy flow operation constraints of the integrated energy system. Finally, the multi-objective particle swarm algorithm is used to analyze different scenarios. The results show that the total cost of the model is reduced by 31.90% and the carbon emission is reduced by 35.36%. It proves that the model proposed in this paper can effectively improve the system economy and reduce the overall carbon emission level.