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Low-Carbon Dispatch Method Considering Node Carbon Emission Controlling Based on Carbon Emission Flow Theory

Author

Listed:
  • Xi Wu

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Qiuyu Chen

    (Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610218, China)

  • Weitao Zheng

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Jingyu Xie

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Danhong Xie

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Hancheng Chen

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Xiang Yu

    (State Grid Fujian Electric Power Company Information and Communication Branch, Fuzhou 350003, China)

  • Chen Yang

    (Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610218, China)

Abstract

Fair sharing of carbon emission responsibilities is an important direction for the low carbonization of power systems. This paper proposes a new low-carbon dispatch method (N-LCD), which takes node carbon emissions as a constraint for power system decision-making, so as to adapt to the current management needs of power carbon footprint. The N-LCD model is built on the traditional optimal power flow (OPF) or low-carbon dispatch (LCD) model, integrating carbon flow equations and constraints and introducing a bidirectional power flow component to solve the problem of unknown carbon flow direction in power flow optimization. Empirical analysis proves the effectiveness of the N-LCD model in ensuring the fair share of carbon emission responsibilities and solving low-carbon unit commitment optimization based on carbon nodal emission control.

Suggested Citation

  • Xi Wu & Qiuyu Chen & Weitao Zheng & Jingyu Xie & Danhong Xie & Hancheng Chen & Xiang Yu & Chen Yang, 2025. "Low-Carbon Dispatch Method Considering Node Carbon Emission Controlling Based on Carbon Emission Flow Theory," Energies, MDPI, vol. 18(19), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5050-:d:1756141
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    References listed on IDEAS

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    1. Markos A. Kousounadis-Knousen & Ioannis K. Bazionis & Athina P. Georgilaki & Francky Catthoor & Pavlos S. Georgilakis, 2023. "A Review of Solar Power Scenario Generation Methods with Focus on Weather Classifications, Temporal Horizons, and Deep Generative Models," Energies, MDPI, vol. 16(15), pages 1-29, July.
    2. Wei Wu & Shih-Chieh Chou & Karthickeyan Viswanathan, 2023. "Optimal Dispatching of Smart Hybrid Energy Systems for Addressing a Low-Carbon Community," Energies, MDPI, vol. 16(9), pages 1-19, April.
    3. Xuan, Ang & Sun, Yingfei & Liu, Zhengguang & Zheng, Peijun & Peng, Weike, 2025. "An ADMM-based tripartite distributed planning approach in integrated electricity and natural gas system," Applied Energy, Elsevier, vol. 388(C).
    4. Nils Seckinger & Peter Radgen, 2021. "Dynamic Prospective Average and Marginal GHG Emission Factors—Scenario-Based Method for the German Power System until 2050," Energies, MDPI, vol. 14(9), pages 1-22, April.
    5. Wang, Zhuo & Hou, Hui & Zhao, Bo & Zhang, Leiqi & Shi, Ying & Xie, Changjun, 2024. "Risk-averse stochastic capacity planning and P2P trading collaborative optimization for multi-energy microgrids considering carbon emission limitations: An asymmetric Nash bargaining approach," Applied Energy, Elsevier, vol. 357(C).
    6. Bogdanov, Dmitrii & Gulagi, Ashish & Fasihi, Mahdi & Breyer, Christian, 2021. "Full energy sector transition towards 100% renewable energy supply: Integrating power, heat, transport and industry sectors including desalination," Applied Energy, Elsevier, vol. 283(C).
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