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Low-Carbon Operation Optimization Scheduling of Integrated Energy System Considering Carbon Capture Equipment and Electric Heating Demand Response Under Carbon Tax Mechanism

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The Proceedings of the 18th Annual Conference of China Electrotechnical Society (ACCES 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1178))

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Abstract

To promote low-carbon economic operation of integrated energy system (IES). This article proposes an operational optimization scheduling model that considers carbon capture (CC) equipment and demand response (DR) under a carbon tax mechanism. Firstly, the basic model of IES was established. On this basis, considering the response of CC equipment and electric heating demand, an IES carbon tax mechanism model was established. Finally, taking the minimum sum of energy purchase cost, operation and maintenance cost, response compensation cost and carbon tax cost as the objective function, combined with IES multi-energy flow operation constraint, a low carbon and economic operation optimization scheduling model was constructed, and CPLEX was used to solve it. By setting up five scenarios for example analysis, the simulation results show that the introduction of carbon tax mechanism considering the IES of CC equipment and DR reduces carbon tax by 67.33% and total operating costs by 18.24%. The simulation results further show that the introduction of CC equipment and DR Under the carbon tax mechanism can flexibly transfer the load, reduce the operating cost of the system, and reduce the carbon emission of IES, which has potential application value.

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Acknowledgments

This work was funded by Guizhou Provincial Science and Technology Plan Project , China (General 409 of Guizhou Science and Technology Cooperation Support [2021]).

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Authors and Affiliations

  1. School of Electrical Engineering, Guizhou University, Guiyang, 550025, China

    Bangyong Pan, Min Liu & Min Liu

Authors
  1. Bangyong Pan
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  2. Min Liu
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Correspondence to Bangyong Pan .

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Editors and Affiliations

  1. Tian** University of Technology, Tian**, Tian**, China

    Qingxin Yang

  2. East China Jiaotong University, Nanchang, Jiangxi, China

    Zewen Li

  3. Hunan University, Changsha, Hunan, China

    An Luo

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Pan, B., Liu, M. (2024). Low-Carbon Operation Optimization Scheduling of Integrated Energy System Considering Carbon Capture Equipment and Electric Heating Demand Response Under Carbon Tax Mechanism. In: Yang, Q., Li, Z., Luo, A. (eds) The Proceedings of the 18th Annual Conference of China Electrotechnical Society. ACCES 2023. Lecture Notes in Electrical Engineering, vol 1178. Springer, Singapore. https://doi.org/10.1007/978-981-97-1447-6_34

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  • DOI: https://doi.org/10.1007/978-981-97-1447-6_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-1446-9

  • Online ISBN: 978-981-97-1447-6

  • eBook Packages: EngineeringEngineering (R0)

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