您当前的位置:
首页 >
文章列表页 >
Two-stage Planning Method for Energy Router Considering Its Optimal Operation in Distribution Networks
Regular Papers | 更新时间:2026-10-15
    • Two-stage Planning Method for Energy Router Considering Its Optimal Operation in Distribution Networks

    • Two-stage Planning Method for Energy Router Considering Its Optimal Operation in Distribution Networks

    • 中国电机工程学会电力与能源系统学报(英文)   2024年10卷第2期 页码:605-616
    • DOI:10.17775/CSEEJPES.2021.03210    

      中图分类号:
    • 纸质出版:2024-03-01

    移动端阅览

  • Meifu Chen, Mingchao Xia, Qifang Chen. Two-stage Planning Method for Energy Router Considering Its Optimal Operation in Distribution Networks[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(2):605-616. DOI: 10.17775/CSEEJPES.2021.03210.

    Meifu Chen, Mingchao Xia, Qifang Chen. Two-stage Planning Method for Energy Router Considering Its Optimal Operation in Distribution Networks[J]. CSEE Journal of Power and Energy Systems, 2024, 10(2): 605-616. DOI: 10.17775/CSEEJPES.2021.03210.

  •  
  •  
icon
试读结束,您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束,您可以通过登录账户,到个人中心,购买VIP会员阅读全文。
已是VIP会员?
去登录 >

0

浏览量

0

下载量

0

CSCD

文章被引用时,请邮件提醒。
提交
工具集
下载
参考文献导出
分享
收藏
添加至我的专辑

相关文章

Planning Model for Energy Routers Considering Peer-to-Peer Energy Transactions Among Multiple Distribution Networks
Three-Stage Robust Model for Resilient DERs Planning in Distribution Networks
Risk-averse Planning and Evaluation for Park-level Integrated Energy System Considering Seasonal Correlation of Uncertain Energy Prices
Distribution Network Fault Diagnosis Based on Hybrid Model and Data-Driven Approach with Grey Wolf Hunting and Spatial Contraction Strategy
Multi-Objective Optimization for Assessing Tradeoffs Between Energy Sharing and Ancillary Services in Local Energy Communities

相关作者

Meifu Chen
Mingchao Xia
Qifang Chen
Zun Guo
Ming Zhou
Jianxiao Wang
Zhaoyuan Wu
Gengyin Li

相关机构

School of Electrical Engineering Beijing Jiaotong University
State Grid Economic and Technological Research Institute, Co., Ltd.
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University
Key Laboratory of Smart Grid of the Ministry of Education, Tianjin University
Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd.
0