您当前的位置:
首页 >
文章列表页 >
Distributed reactive power optimization based on adaptive federated learning and ADMM
Power Grid Operation | 更新时间:2026-06-22
    • Distributed reactive power optimization based on adaptive federated learning and ADMM

    • ZHEJIANG ELECTRIC POWER   Vol. 45, Issue 6, Pages: 73-82(2026)
    • DOI:10.19585/j.zjdl.202606007    

      CLC:
    • Received:08 November 2025,

      Revised:2026-03-14,

      Published:25 June 2026

    移动端阅览

  • LIU Zhiyuan,XU Jiangjiao.Distributed reactive power optimization based on adaptive federated learning and ADMM[J].ZHEJIANG ELECTRIC POWER,2026,45(06):73-82. DOI: 10.19585/j.zjdl.202606007.

  •  
  •  

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

A two-stage planning model for PV-ESS integrated charging stations considering multi-agent benefits
A reactive voltage optimization method for active distribution networks considering partition size balancing
基于纳什谈判的乡村多区域能源系统协同低碳经济调度
A fully distributed optimal power flow algorithm for multi-regional DC systems based on ADMM
Distributed optimal dispatching of the integrated electricity and natural gas systems considering spatial-temporal correlation of wind power

Related Author

ZHOU Chengang
LI Qiuyun
ZHANG Yan
ZHU Rui
LI Jiali
GUO Zhengyang
REN Quance
WANG Jiang

Related Institution

College of Energy and Electrical Engineering, Hohai University
State Grid Liaoning Electric Power Company Limited Economic and Technological Research Institute
School of Electrical Engineering, Dalian University of Technology
State Grid Lin'an Power Supply Company
State Grid Wenzhou Power Supply Company
0