Advanced Search
Article Contents
ABOUT THIS ARTICLE
Energy Use > 2025 Vol. 1 > No. 1 > 100012
Next Article Previous Article
COMMENTARY   Open Access     Cite

Multi-time-scale Optimized Operation Method for Integrated Energy Systems Considering Equipment Dynamic Performance

  • 1.

    Department of Power Engineering, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China

  • 2.

    Hebei Key Laboratory of Energy Storage and Integrated Energy Systems, North China Electric Power University, Baoding 071003, China

  • 3.

    Beijing Institute of Technology, Zhuhai, 519088, China

  • 4.

    Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Tsinghua University, Beijing 100084, China

  • 5.

    School of Built Environment, Massey University, Auckland 0632, New Zealand

    • Fund Project: This work was supported by the Hebei Province Innovation Capability Enhancement Program Project (No. 244A4501D), the National Natural Science Foundation of China (No. 52206247).
More Information
  • Corresponding author: zhijianliu@ncepu.edu.cn 
  • Received Date:  August 28, 2025
    Accepted Date:  September 09, 2025
    Published Online:  September 25, 2025
Energy Use  1(1),  https://doi.org/10.59717/ipj.energy-use.2025.100012  |  Cite this article
    • FullText(HTML)
  • 加载中
    • REFERENCES
  • [1] International Energy Agency. World Energy Outlook 2024. (2024).

    View in Article Google Scholar

    [2] Hu C., Wang H. and Li C. (2026) Integrated energy system modeling and optimal scheduling strategy for supply and demand side resource flexibility. Renew. Energy 256:124073. DOI:10.1016/j.energy.2025.137403.

    View in Article Google Scholar

    [3] Liu Z., Fan G., Meng X., et al. (2024). Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage. Energy 291:130397. DOI:10.1016/j.energy.2024.130397

    View in Article CrossRef Google Scholar

    [4] Duan Y. (2024). Research on Multi-Time Scale Operation Method ofIntegrated Energy System Considering Equipment Dynamic Characteristics (in Chinese). North China Electric Power University. DOI:10.27139/d.cnki.ghbdu.2024.001196.

    View in Article Google Scholar

    [5] Han Z., Han S., Wu D., et al. (2025). Multi-timescale optimization scheduling of integrated energy systems based on high-accuracy predictions. Energy 333:137403. DOI:10.1016/j.energy.2025.137403

    View in Article CrossRef Google Scholar

    • Cited by

  • Cite this article:

    Wu D., Han S., Liu Z., et al. (2025). Multi-time-scale Optimized Operation Method for Integrated Energy Systems Considering Equipment Dynamic Performance. Energy Use 1:100012. https://doi.org/10.59717/ipj.energy-use.2025.100012
    Wu D., Han S., Liu Z., et al. (2025). Multi-time-scale Optimized Operation Method for Integrated Energy Systems Considering Equipment Dynamic Performance. Energy Use 1:100012. https://doi.org/10.59717/ipj.energy-use.2025.100012

Welcome!

To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.

PDF
Figures(1)    

Share

  • Share the QR code with wechat scanning code to friends and circle of friends.

Article Metrics

Article views(3124) PDF downloads(1958)

Relative Articles

Cited by

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Website copyright © Innovation Press. Published articles are licensed under CC BY with copyright retained by the authors.