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Economy-carbon coordination in integrated energy systems: Optimal dispatch and sensitivity analysis

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  • Lu, Shuai
  • Li, Yuan
  • Gu, Wei
  • Xu, Yijun
  • Ding, Shixing

Abstract

The acceleration of low carbon development and carbon emission reduction (CER) policies have compelled power systems to act and consider carbon emissions in their dispatches. To realize CER, power system economic dispatch has become more challenging. The integrated energy system (IES) can significantly reduce the production of carbon emissions. In light of this, this paper proposes a bi-objective optimization model to coordinate the operating cost and carbon emission of the IES and a sensitivity analysis approach to evaluate the impact of CER. First, the coupling relationship between energy and carbon in the IES is analyzed. Second, the bi-objective optimization model of the IES is proposed, in which the thermal inertia is embedded to provide operational flexibility. Third, three sensitivity metrics and the corresponding models are proposed to quantify the impact of global/local CER of IES, including the cost of global CER, the cost of local CER, and the sensitivity of local CER. Finally, the dispatch procedure and algorithm are introduced. Case studies demonstrate the effectiveness of the proposed method, in which the impact of thermal inertia and battery capacity on dispatch results and CER sensitivity is analyzed.

Suggested Citation

  • Lu, Shuai & Li, Yuan & Gu, Wei & Xu, Yijun & Ding, Shixing, 2023. "Economy-carbon coordination in integrated energy systems: Optimal dispatch and sensitivity analysis," Applied Energy, Elsevier, vol. 351(C).
    • Handle: RePEc:eee:appene:v:351:y:2023:i:c:s0306261923012357
    DOI: 10.1016/j.apenergy.2023.121871
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    1. He, Xiaoping, 2015. "Regional differences in China's CO2 abatement cost," Energy Policy, Elsevier, vol. 80(C), pages 145-152.
    2. Wang, Yongli & Ma, Yuze & Song, Fuhao & Ma, Yang & Qi, Chengyuan & Huang, Feifei & Xing, Juntai & Zhang, Fuwei, 2020. "Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response," Energy, Elsevier, vol. 205(C).
    3. Yue, Xiufeng & Deane, J.P. & O'Gallachoir, Brian & Rogan, Fionn, 2020. "Identifying decarbonisation opportunities using marginal abatement cost curves and energy system scenario ensembles," Applied Energy, Elsevier, vol. 276(C).
    4. Ahn, Young-Hwan & Jeon, Wooyoung, 2019. "Power sector reform and CO2 abatement costs in Korea," Energy Policy, Elsevier, vol. 131(C), pages 202-214.
    5. Gu, Wei & Wang, Jun & Lu, Shuai & Luo, Zhao & Wu, Chenyu, 2017. "Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings," Applied Energy, Elsevier, vol. 199(C), pages 234-246.
    6. Wang, Yongli & Liu, Zhen & Cai, Chengcong & Xue, Lu & Ma, Yang & Shen, Hekun & Chen, Xin & Liu, Lin, 2022. "Research on the optimization method of integrated energy system operation with multi-subject game," Energy, Elsevier, vol. 245(C).
    7. Li, Haoran & Zhang, Chenghui & Sun, Bo, 2021. "Optimal design for component capacity of integrated energy system based on the active dispatch mode of multiple energy storages," Energy, Elsevier, vol. 227(C).
    8. Lai, Wenhao & Zheng, Xiaoliang & Song, Qi & Hu, Feng & Tao, Qiong & Chen, Hualiang, 2022. "Multi-objective membrane search algorithm: A new solution for economic emission dispatch," Applied Energy, Elsevier, vol. 326(C).
    9. Wang, Meng & Zheng, J.H. & Li, Zhigang & Wu, Q.H., 2022. "Multi-attribute decision analysis for optimal design of park-level integrated energy systems based on load characteristics," Energy, Elsevier, vol. 254(PA).
    10. Nuytten, Thomas & Claessens, Bert & Paredis, Kristof & Van Bael, Johan & Six, Daan, 2013. "Flexibility of a combined heat and power system with thermal energy storage for district heating," Applied Energy, Elsevier, vol. 104(C), pages 583-591.
    11. Zheng, J.H. & Xiao, Wenting & Wu, C.Q. & Li, Zhigang & Wang, L.X. & Wu, Q.H., 2023. "A gradient descent direction based-cumulants method for probabilistic energy flow analysis of individual-based integrated energy systems," Energy, Elsevier, vol. 265(C).
    12. Zhang, Guangming & Wang, Wei & Chen, Zhenyu & Li, Ruilian & Niu, Yuguang, 2022. "Modeling and optimal dispatch of a carbon-cycle integrated energy system for low-carbon and economic operation," Energy, Elsevier, vol. 240(C).
    13. Hu, Kewei & Fang, Jiakun & Ai, Xiaomeng & Huang, Danji & Zhong, Zhiyao & Yang, Xiaobo & Wang, Lei, 2022. "Comparative study of alkaline water electrolysis, proton exchange membrane water electrolysis and solid oxide electrolysis through multiphysics modeling," Applied Energy, Elsevier, vol. 312(C).
    14. Nakaishi, Tomoaki, 2021. "Developing effective CO2 and SO2 mitigation strategy based on marginal abatement costs of coal-fired power plants in China," Applied Energy, Elsevier, vol. 294(C).
    15. Feng, Peiling & He, Xing, 2021. "Mixed neurodynamic optimization for the operation of multiple energy systems considering economic and environmental aspects," Energy, Elsevier, vol. 232(C).
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