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Integrated energy optimization scheduling with active/passive demand response and reward and punishment ladder carbon trading

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Abstract

With the increase in energy demand and carbon emission requirements, energy management and CO2 emission reduction on the user side are significant for integrated energy system (IES) scheduling. This paper constructs a two-stage optimal dispatching model combining active/passive demand response (DR) and reward and punishment ladder-type carbon trading. In the first stage, the electricity/gas load was optimized by adding a logistics function to the active DR model. A passive DR model is built based on the optimized electric load and the heat/cooling–electricity ratio of the cogeneration unit to optimize the heat/cooling load. In the second stage, a multi-objective IES model based on the optimized load and reward and punishment ladder carbon trading was solved by the golden eagle multi-objective optimization (MOGEO). Analyzing the scheduling results from different scenarios, the active/passive DR model can reduce the load peak-to-valley difference and improve user satisfaction and grid revenue. At the same time, the combination of reward and punishment ladder carbon trading makes the system gain more carbon revenue, reduces system operating costs and carbon emissions, and improves energy utilization.

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Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.

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Funding

The authors thank the project supported by the National Natural Science Foundation of China (52007103).

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Authors and Affiliations

  1. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, 443002, China

    Tao Zhang & Jin Wang

  2. State Grid Hubei Electric Power Research Institute, Hubei, 430077, China

    Xin Mei

  3. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang, 443002, China

    Wenli Liu

Authors
  1. Tao Zhang
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  2. Jin Wang
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  3. Xin Mei
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  4. Wenli Liu
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Contributions

Tao Zhang and Jin Wang wrote the main manuscript text and prepared figures. All authors reviewed the manuscript.

Corresponding author

Correspondence to Tao Zhang.

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Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee. Written informed consent for participation and publication of this paper was obtained from the College of Electrical Engineering and New Energy, China Three Gorges University, State Grid Hubei Electric Power Research Institute, and all authors.

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The authors declare no potential financial or personal conflict of interest with the research, authorship, and publication of this article.

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Zhang, T., Wang, J., Mei, X. et al. Integrated energy optimization scheduling with active/passive demand response and reward and punishment ladder carbon trading. Electr Eng 105, 2923–2934 (2023). https://doi.org/10.1007/s00202-023-01865-9

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  • DOI: https://doi.org/10.1007/s00202-023-01865-9

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