您当前的位置:
首页 >
文章列表页 >
Heuristic Decomposition Algorithm for Joint Optimization of Unit Commitment and Branch Switching Incorporating Short-Circuit Current Constraints
Intelligent Driving Method and Efficient Solving Technology for Optimizing Scheduling of New Power Systems | 更新时间:2025-07-29
    • Heuristic Decomposition Algorithm for Joint Optimization of Unit Commitment and Branch Switching Incorporating Short-Circuit Current Constraints

    • In the field of unit combination optimization, experts have proposed a new algorithm that effectively solves the problem of optimizing system operation schemes under short-circuit current constraints, providing new ideas for the safe and economical operation of power systems.
    • Southern Power System Technology   Vol. 19, Issue 3, Pages: 153-162(2025)
    • DOI:10.13648/j.cnki.issn1674-0629.2025.03.014    

      CLC: TM73
    • Received:22 December 2023

      Published Online:17 May 2024

      Published:20 March 2025

    移动端阅览

  • XU Liangde,WU Chuqin,GUO Ting,et al.Heuristic Decomposition Algorithm for Joint Optimization of Unit Commitment and Branch Switching Incorporating Short-Circuit Current Constraints[J].Southern Power System Technology,2025,19(03):153-162. DOI: 10.13648/j.cnki.issn1674-0629.2025.03.014.

  •  
  •  

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

Multi-Objective Hierarchical Active Optimization Method for Active Distribution Networks Considering Bidirectional Coordination of Transmission and Distribution Networks
The Unit Commitment of Guangdong Power Grid in Consideration of the Nuclear Power Taking Part in Load Regulation

Related Author

YU Danwen
SU Yongzhi
HUANG Zhenning
ZHANG Yumin
LI Fucun
CAO Wenjun
SHAO Changzheng
HU Bo

Related Institution

Electric Power Research Institute of State Grid Shandong Electric Power Company
State Grid Shandong Electric Power Company
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University
Electric Power Research Institute
School of Electrical Engineering, Chongqing University
0