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Cooperative Operation Model of Wind Turbine and Carbon Capture Power Plant Considering Benefit Distribution

Author

Listed:
  • Zhongfu Tan

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jiacheng Yang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Fanqi Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Haochen Zhao

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xudong Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

Increasing systematic carbon sinks and clean energy generation proportion are the main ways to reduce the carbon emission of power system. In order to promote wind power accommodation and reduce system carbon emissions, a cooperative operation model of wind turbine and carbon capture power plant (CCPP) is constructed. Then, the model is equivalently transformed into two sub-problems. One is the operation optimization sub-problem of cooperative alliance with the goal of maximizing the alliance benefit. The other is the benefit distribution sub-problem with the goal of fair distributing cooperative benefit. To protect participants’ privacy, the alternating direction method of multipliers (ADMM) is used to realize the distributed solution of the two sub-problems. Finally, the effectiveness of the proposed model is verified by an example, and the sensitivity analysis of the alliance benefit and system carbon emission is carried out with carbon price and carbon capture cost as the sensitivity factors. The example results show that: (1) By providing up and down regulation services to wind turbines, CCPP can obtain ancillary service income and help to reduce the declaration deviation of wind turbines, which can realize multi-win-win situation. (2) Carbon price affects both thermal power units and carbon capture equipment. So, compared with carbon costs, the carbon emissions and the alliance benefit are both more sensitive to carbon price. The model of the paper is constructed under the deviation punishment mechanism, and subsequent research can be expanded in combination with a more detailed imbalance settlement mechanism.

Suggested Citation

  • Zhongfu Tan & Jiacheng Yang & Fanqi Li & Haochen Zhao & Xudong Li, 2022. "Cooperative Operation Model of Wind Turbine and Carbon Capture Power Plant Considering Benefit Distribution," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11627-:d:916475
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    References listed on IDEAS

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    1. Jing Wang & Liang Feng & Paul I. Palmer & Yi Liu & Shuangxi Fang & Hartmut Bösch & Christopher W. O’Dell & Xiaoping Tang & Dongxu Yang & Lixin Liu & ChaoZong Xia, 2020. "Large Chinese land carbon sink estimated from atmospheric carbon dioxide data," Nature, Nature, vol. 586(7831), pages 720-723, October.
    2. Jing Wang & Liang Feng & Paul I. Palmer & Yi Liu & Shuangxi Fang & Hartmut Bösch & Christopher W. O’Dell & Xiaoping Tang & Dongxu Yang & Lixin Liu & ChaoZong Xia, 2020. "Publisher Correction: Large Chinese land carbon sink estimated from atmospheric carbon dioxide data," Nature, Nature, vol. 588(7837), pages 19-19, December.
    3. Wu, Xiao & Wang, Meihong & Liao, Peizhi & Shen, Jiong & Li, Yiguo, 2020. "Solvent-based post-combustion CO2 capture for power plants: A critical review and perspective on dynamic modelling, system identification, process control and flexible operation," Applied Energy, Elsevier, vol. 257(C).
    4. He, Liangce & Lu, Zhigang & Zhang, Jiangfeng & Geng, Lijun & Zhao, Hao & Li, Xueping, 2018. "Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas," Applied Energy, Elsevier, vol. 224(C), pages 357-370.
    5. Poplavskaya, Ksenia & Lago, Jesus & de Vries, Laurens, 2020. "Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets," Applied Energy, Elsevier, vol. 270(C).
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