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Low-carbon economic dispatch of electricity-gas systems

Author

Listed:
  • Xiang, Yue
  • Wu, Gang
  • Shen, Xiaodong
  • Ma, Yuhang
  • Gou, Jing
  • Xu, Weiting
  • Liu, Junyong

Abstract

A reasonable dispatch strategy is of significance to meet and balance the operation economy, carbon emission and operation risk requirements for energy systems. A low-carbon economic dispatch model for electricity-gas systems is proposed, in which the carbon capture systems (CCS), carbon emission trading (CET), demand response (DR) and renewable generation are considered. The impacts of different low-carbon technologies on system economy and carbon emission are investigated. To manage the risk caused by uncertain renewable generation and CET price, the low-carbon economic dispatch problem is formulated as a risk-constrained two-stage stochastic dispatch model based on the chance-constrained programming (CCP). A predefined confidence level is introduced to control the loss of load risk and the transmission line overload risk in the proposed model. Case studies demonstrate the feasibility and effectiveness of the proposed models.

Suggested Citation

  • Xiang, Yue & Wu, Gang & Shen, Xiaodong & Ma, Yuhang & Gou, Jing & Xu, Weiting & Liu, Junyong, 2021. "Low-carbon economic dispatch of electricity-gas systems," Energy, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:energy:v:226:y:2021:i:c:s0360544221005168
    DOI: 10.1016/j.energy.2021.120267
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    References listed on IDEAS

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    1. Fan, Jing-Li & Wei, Shijie & Yang, Lin & Wang, Hang & Zhong, Ping & Zhang, Xian, 2019. "Comparison of the LCOE between coal-fired power plants with CCS and main low-carbon generation technologies: Evidence from China," Energy, Elsevier, vol. 176(C), pages 143-155.
    2. Wang, Chen & Wang, Zhaohua & Ke, Ruo-Yu & Wang, Jiancai, 2018. "Integrated impact of the carbon quota constraints on enterprises within supply chain: Direct cost and indirect cost," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 774-783.
    3. Shabanpour-Haghighi, Amin & Seifi, Ali Reza, 2015. "Multi-objective operation management of a multi-carrier energy system," Energy, Elsevier, vol. 88(C), pages 430-442.
    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. Fan, Jing-Li & Xu, Mao & Yang, Lin & Zhang, Xian, 2019. "Benefit evaluation of investment in CCS retrofitting of coal-fired power plants and PV power plants in China based on real options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    6. Zhang, Pengpeng & Zhang, Lixiao & Tian, Xin & Hao, Yan & Wang, Changbo, 2018. "Urban energy transition in China: Insights from trends, socioeconomic drivers, and environmental impacts of Beijing," Energy Policy, Elsevier, vol. 117(C), pages 173-183.
    7. Yuan, Rong & Behrens, Paul & Tukker, Arnold & Rodrigues, João F.D., 2018. "Carbon overhead: The impact of the expansion in low-carbon electricity in China 2015–2040," Energy Policy, Elsevier, vol. 119(C), pages 97-104.
    8. Lu, Xi & McElroy, Michael B. & Nielsen, Chris P. & Chen, Xinyu & Huang, Junling, 2013. "Optimal integration of offshore wind power for a steadier, environmentally friendlier, supply of electricity in China," Energy Policy, Elsevier, vol. 62(C), pages 131-138.
    Full references (including those not matched with items on IDEAS)

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