IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i23p6208-d1539960.html

Framework and Outlooks of Multi-Source–Grid–Load Coordinated Low-Carbon Operational Systems Considering Demand-Side Hierarchical Response

Author

Listed:
  • Yong Cui

    (College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
    College of Management, Anhui Science and Technology University, Bengbu 233030, China)

  • Jian Zheng

    (College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China)

  • Wenying Wu

    (College of Management, Anhui Science and Technology University, Bengbu 233030, China)

  • Kun Xu

    (Anhui Qiankun Electric Power Engineering Co., Ltd., Hefei 231283, China)

  • Desen Ji

    (State Grid Jiangxi Elect Power Metering Ctr., Nanchang 330000, China)

  • Tian Di

    (College of Management, Anhui Science and Technology University, Bengbu 233030, China)

Abstract

In the context of advancing new power systems, a multi-source–grid–load interactive operation framework considering low-carbon demand hierarchical response is developed to further explore the support value of the multi-source–grid–load interaction mechanism for the low-carbon economic operation of the power system. The framework analyzes the support mechanisms of carbon tracking and load-side demand response for the low-carbon economic dispatch of the system and derives the carbon flow calculation method based on the network node correlation matrix, laying the foundation for developing low-carbon demand response strategies. Meanwhile, considering the marginal contribution of each load-side node to the system carbon emissions, a combined Shapley–Topsis low-carbon demand hierarchical response mechanism is designed to guide load nodes in implementing accurate low-carbon hierarchical responses, thereby ensuring the optimal allocation and efficient utilization of system resources. Finally, based on the proposed framework, promising future research perspectives are proposed to provide critical insights for constructing a low-carbon and reliable new energy system.

Suggested Citation

  • Yong Cui & Jian Zheng & Wenying Wu & Kun Xu & Desen Ji & Tian Di, 2024. "Framework and Outlooks of Multi-Source–Grid–Load Coordinated Low-Carbon Operational Systems Considering Demand-Side Hierarchical Response," Energies, MDPI, vol. 17(23), pages 1-20, December.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6208-:d:1539960
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/23/6208/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/23/6208/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fang, Fang & Yu, Songyuan & Liu, Mingxi, 2020. "An improved Shapley value-based profit allocation method for CHP-VPP," Energy, Elsevier, vol. 213(C).
    2. Zhou, Yuan & Wang, Jiangjiang & Yang, Mingxu & Xu, Hangwei, 2023. "Hybrid active and passive strategies for chance-constrained bilevel scheduling of community multi-energy system considering demand-side management and consumer psychology," Applied Energy, Elsevier, vol. 349(C).
    3. Zhang, Lihui & Li, Songrui & Nie, Qingyun & Hu, Yitang, 2022. "A two-stage benefit optimization and multi-participant benefit-sharing strategy for hybrid renewable energy systems in rural areas under carbon trading," Renewable Energy, Elsevier, vol. 189(C), pages 744-761.
    4. Jin, Cheng & Lv, Zhiwei & Li, Zengrong & Sun, Kehan, 2023. "Green finance, renewable energy and carbon neutrality in OECD countries," Renewable Energy, Elsevier, vol. 211(C), pages 279-284.
    5. Wang, Peilin & Yuan, Wenlin & Su, Chengguo & Wu, Yang & Lu, Lu & Yan, Denghua & Wu, Zening, 2022. "Short-term optimal scheduling of cascade hydropower plants shaving peak load for multiple power grids," Renewable Energy, Elsevier, vol. 184(C), pages 68-79.
    6. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & He, Gang & Zheng, Yanan, 2017. "An integrated source-grid-load planning model at the macro level: Case study for China's power sector," Energy, Elsevier, vol. 126(C), pages 231-246.
    7. Li, Yaowang & Yang, Xuxin & Du, Ershun & Liu, Yuliang & Zhang, Shixu & Yang, Chen & Zhang, Ning & Liu, Chang, 2024. "A review on carbon emission accounting approaches for the electricity power industry," Applied Energy, Elsevier, vol. 359(C).
    8. Wang, Longze & Zhang, Yan & Li, Zhehan & Huang, Qiyu & Xiao, Yuxin & Yi, Xinxing & Ma, Yiyi & Li, Meicheng, 2023. "P2P trading mode for real-time coupled electricity and carbon markets based on a new indicator green energy," Energy, Elsevier, vol. 285(C).
    9. Yinan Wang & Heng Chen & Shuyuan Zhao & Lanxin Fan & Cheng Xin & Xue Jiang & Fan Yao, 2024. "Benefit Evaluation of Carbon Reduction in Power Transmission and Transformation Projects Based on the Modified TOPSIS-RSR Method," Energies, MDPI, vol. 17(12), pages 1-23, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Shenbo & Fang, Jiangpeng & Zhang, Zheyu & Lv, ShuoShuo & Lin, Hongyu & Ju, Liwei, 2024. "Two-stage coordinated optimal dispatching model and benefit allocation strategy for rural new energy microgrid," Energy, Elsevier, vol. 292(C).
    2. Xu, Qi & Liu, Kui, 2024. "Hero or Devil: A comparison of different carbon tax policies for China," Energy, Elsevier, vol. 306(C).
    3. Liu, Hailiang & Andresen, Gorm Bruun & Greiner, Martin, 2018. "Cost-optimal design of a simplified highly renewable Chinese electricity network," Energy, Elsevier, vol. 147(C), pages 534-546.
    4. Vrionis, Constantinos & Tsalavoutis, Vasilios & Tolis, Athanasios, 2020. "A Generation Expansion Planning model for integrating high shares of renewable energy: A Meta-Model Assisted Evolutionary Algorithm approach," Applied Energy, Elsevier, vol. 259(C).
    5. Shi, Rubiao & Zhang, Xi & Zhu, Zhimeng, 2026. "Greening firms through Finance: How green finance drives corporate pollution and carbon reduction synergy in China," International Review of Economics & Finance, Elsevier, vol. 105(C).
    6. Mengzhu Xiao & Manuel Wetzel & Thomas Pregger & Sonja Simon & Yvonne Scholz, 2020. "Modeling the Supply of Renewable Electricity to Metropolitan Regions in China," Energies, MDPI, vol. 13(12), pages 1-31, June.
    7. Liu, Hailiang & Brown, Tom & Andresen, Gorm Bruun & Schlachtberger, David P. & Greiner, Martin, 2019. "The role of hydro power, storage and transmission in the decarbonization of the Chinese power system," Applied Energy, Elsevier, vol. 239(C), pages 1308-1321.
    8. Baihao Qiao & Hui Xu & Yitong Liu & Jinglong Ye & Hejuan Hu & Li Yan & Tao Wei, 2025. "Economic, Low-Carbon Dispatch of Seasonal Park Integrated Energy System Based on Adjustable Cooling–Heating–Power Ratio," Energies, MDPI, vol. 18(19), pages 1-25, September.
    9. Su, Chengguo & Li, Li & Zhang, Taiheng & Sui, Quan & Yang, Yunbo, 2025. "A real-time scheduling framework of cascade hydropower-photovoltaic power complementary systems based on model predictive control," Applied Energy, Elsevier, vol. 392(C).
    10. Waranya Thepsaskul & Wongkot Wongsapai & Tassawan Jaitiang & Panuwich Jaekhajad, 2025. "Prospects of Attaining Thailand’s Carbon Neutrality Target Through Carbon Capture and Storage by Public Power Utility," Sustainability, MDPI, vol. 17(1), pages 1-21, January.
    11. Sun, Yaling & Che, Yanbo & Guo, Xiao & Zhang, Shangyuan, 2025. "Optimal modelling and analysis of DG-GC joint multilateral transaction in energy blockchain environment: from the REP perspective," Energy, Elsevier, vol. 335(C).
    12. Constantino Dário Justo & José Eduardo Tafula & Pedro Moura, 2022. "Planning Sustainable Energy Systems in the Southern African Development Community: A Review of Power Systems Planning Approaches," Energies, MDPI, vol. 15(21), pages 1-28, October.
    13. Wang, Jin & Zhao, Zhipeng & Zhou, Jinglin & Cheng, Chuntian & Su, Huaying, 2024. "Developing operating rules for a hydro–wind–solar hybrid system considering peak-shaving demands," Applied Energy, Elsevier, vol. 360(C).
    14. Carballo, R. & Fouz, D.M. & López, I. & Iglesias, G., 2024. "Hydrokinetic energy site selection under high seasonality: The i-IHE index," Renewable Energy, Elsevier, vol. 237(PC).
    15. Li, Tianxiao & Li, Zheng & Li, Weiqi, 2020. "Scenarios analysis on the cross-region integrating of renewable power based on a long-period cost-optimization power planning model," Renewable Energy, Elsevier, vol. 156(C), pages 851-863.
    16. Luo, Xu & Zhang, Yang & Xia, Jianjun & Jiang, Yi, 2025. "Carbon emission accounting and responsibility allocation for district heating in northern China: A baseline value approach," Energy, Elsevier, vol. 335(C).
    17. Wang, B. & Liu, L. & Huang, G.H. & Li, W. & Xie, Y.L., 2018. "Effects of carbon and environmental tax on power mix planning - A case study of Hebei Province, China," Energy, Elsevier, vol. 143(C), pages 645-657.
    18. Muhammad Saleem Ullah Khan & Farkhanda Rauf, 2026. "Environmental and Carbon Costing Systems: A Systematic Review of Green Cost Accounting Practices," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(2), pages 7312-7327, February.
    19. Guoli Qu & Chengwei Guo & Jindong Cui, 2025. "Spatiotemporal Evolution of Carbon Emissions and Carbon Allowance Prices in China: Implications for Sustainable Low-Carbon Transition," Sustainability, MDPI, vol. 17(12), pages 1-24, June.
    20. Shi, Shouyuan & Yu, Tao & Lan, Chaofan & Pan, Zhenning, 2024. "Estimating the actual emission cost in an annual compliance cycle: Synergistic generation and carbon trading optimization for price-taking generation companies," Applied Energy, Elsevier, vol. 376(PA).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6208-:d:1539960. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.