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Hierarchical Low-Carbon Economic Dispatch with Source-Load Bilateral Carbon-Trading Based on Aumann–Shapley Method

Author

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  • Junpei Nan

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Jieran Feng

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Xu Deng

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

  • Chao Wang

    (Shaoxing Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Shaoxing 312000, China)

  • Ke Sun

    (State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310063, China)

  • Hao Zhou

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

Introducing carbon trading is an essential way to decarbonize the power system. Many existing studies mainly consider source-side unilateral carbon trading (UCT). However, there are still rare studies considering source-load bilateral carbon trading (BCT). The effect of source-load BCT on system-wide carbon mitigation is worth studying. To fill this research gap, a hierarchical low-carbon economic-dispatch model with source-load BCT based on the Aumann–Shapley method was proposed. In the first layer, economic-dispatch was conducted to minimize the power-generation costs and source-side carbon-trading costs. Then, based on the carbon-emission flow (CEF) theory, the actual load carbon emissions can be obtained and passed to the second layer. At the second layer, the demand-response optimization was performed to minimize the load-side carbon-trading costs. Finally, the proposed model was tested on the modified New England 39-bus and IEEE 118-bus systems using the MATLAB/YALMIP platform with the Gurobi solver. The results indicate that the proposed model can effectively facilitate peak-load shifting, wind-power consumption, and carbon mitigation. Furthermore, compared with the models only considering source-side or load-side UCT, the proposed source-load BCT model has obvious advantages in carbon mitigation.

Suggested Citation

  • Junpei Nan & Jieran Feng & Xu Deng & Chao Wang & Ke Sun & Hao Zhou, 2022. "Hierarchical Low-Carbon Economic Dispatch with Source-Load Bilateral Carbon-Trading Based on Aumann–Shapley Method," Energies, MDPI, vol. 15(15), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5359-:d:870326
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    as
    1. Mostafaeipour, Ali & Bidokhti, Abbas & Fakhrzad, Mohammad-Bagher & Sadegheih, Ahmad & Zare Mehrjerdi, Yahia, 2022. "A new model for the use of renewable electricity to reduce carbon dioxide emissions," Energy, Elsevier, vol. 238(PA).
    2. Niklas Höhne & Matthew J. Gidden & Michel Elzen & Frederic Hans & Claire Fyson & Andreas Geiges & M. Louise Jeffery & Sofia Gonzales-Zuñiga & Silke Mooldijk & William Hare & Joeri Rogelj, 2021. "Wave of net zero emission targets opens window to meeting the Paris Agreement," Nature Climate Change, Nature, vol. 11(10), pages 820-822, October.
    3. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    4. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    5. Tan, Qinliang & Ding, Yihong & Ye, Qi & Mei, Shufan & Zhang, Yimei & Wei, Yongmei, 2019. "Optimization and evaluation of a dispatch model for an integrated wind-photovoltaic-thermal power system based on dynamic carbon emissions trading," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Yu, Biying & Sun, Feihu & Chen, Chen & Fu, Guanpeng & Hu, Lin, 2022. "Power demand response in the context of smart home application," Energy, Elsevier, vol. 240(C).
    7. Jin, Jingliang & Zhou, Peng & Li, Chenyu & Guo, Xiaojun & Zhang, Mingming, 2019. "Low-carbon power dispatch with wind power based on carbon trading mechanism," Energy, Elsevier, vol. 170(C), pages 250-260.
    8. Dan Welsby & James Price & Steve Pye & Paul Ekins, 2021. "Unextractable fossil fuels in a 1.5 °C world," Nature, Nature, vol. 597(7875), pages 230-234, September.
    9. Zhou, Sheng & Tong, Qing & Pan, Xunzhang & Cao, Min & Wang, Hailin & Gao, Ji & Ou, Xunmin, 2021. "Research on low-carbon energy transformation of China necessary to achieve the Paris agreement goals: A global perspective," Energy Economics, Elsevier, vol. 95(C).
    10. Cristina Peñasco & Laura Díaz Anadón & Elena Verdolini, 2021. "Systematic review of the outcomes and trade-offs of ten types of decarbonization policy instruments," Nature Climate Change, Nature, vol. 11(3), pages 257-265, March.
    11. Emad M. Ahmed & Rajarajeswari Rathinam & Suchitra Dayalan & George S. Fernandez & Ziad M. Ali & Shady H. E. Abdel Aleem & Ahmed I. Omar, 2021. "A Comprehensive Analysis of Demand Response Pricing Strategies in a Smart Grid Environment Using Particle Swarm Optimization and the Strawberry Optimization Algorithm," Mathematics, MDPI, vol. 9(18), pages 1-24, September.
    12. Wang, Yunqi & Qiu, Jing & Tao, Yuechuan, 2022. "Robust energy systems scheduling considering uncertainties and demand side emission impacts," Energy, Elsevier, vol. 239(PD).
    13. Suman, A., 2021. "Role of renewable energy technologies in climate change adaptation and mitigation: A brief review from Nepal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
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