您当前的位置:
首页 >
文章列表页 >
Robust unit commitment considering dynamic capacity expansion technology of transmission lines
ANALYSIS AND RESEARCH | 更新时间:2026-01-14
    • Robust unit commitment considering dynamic capacity expansion technology of transmission lines

    • “In the field of power system scheduling, experts have proposed a robust unit combination method that significantly improves the transmission capacity and system economy of transmission lines through dynamic capacity expansion technology, providing a solution for power grid congestion problems.”
    • Electric Power Automation Equipment   Vol. 46, Issue 1, Pages: 217-224(2026)
    • DOI:10.16081/j.epae.202508005    

      CLC: TM73
    • Received:25 September 2024,

      Revised:2025-02-13,

      Published:10 January 2026

    移动端阅览

  • DING Ran,LI Yinxiao,YAO Yiming,et al.Robust unit commitment considering dynamic capacity expansion technology of transmission lines[J].Electric Power Automation Equipment,2026,46(01):217-224. DOI: 10.16081/j.epae.202508005.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Robust optimization method for coordinated distribution network and microgrids based on modified parallel analytical target cascading
Optimal scheduling of hydrogen coupled electrothermal integrated energy system based on deep reinforcement learning algorithm
Optimal energy scheduling strategy of building groups considering multiple uncertainties and potential game
Optimal pressure operation of proton exchange membrane water electrolysis system for fluctuating renewable energy
Annual generation plan for multi-zone interconnected power system considering periodic verification and seasonal energy storage

Related Author

CHEN Wendong
DOU Xiaobo
DING Quan
HU Junru
ZHANG Xiaotong
GUO Zhaochu
LIANG Tao
CHAI Lulu

Related Institution

Guodian Nanjing Automation Co.,Ltd.
School of Electrical Engineering,Southeast University
Goldwind Science & Technology Co.,Ltd.
Hebei Jiantou New Energy Co.,Ltd.
School of Artificial Intelligence and Data Science,Hebei University of Technology
0