您当前的位置：
首页 >
文章列表页 >
Optimal hoisting capacity assessment and calculation for distributed generation in distribution networks
Distribution Network | 更新时间：2025-11-26

    • Optimal hoisting capacity assessment and calculation for distributed generation in distribution networks

    • “The reporter learned from the field of power grid that experts have constructed a DG carrying capacity evaluation system model for distribution networks, using an improved NSGA-II algorithm to calculate DG configuration and access capacity, providing a solution for power grid planning.”
    • ZHEJIANG ELECTRIC POWER   Vol. 44, Issue 11, Pages: 103-113(2025)

    • DOI：10.19585/j.zjdl.202511010    

      CLC：

    • Received：14 February 2025，

      Revised：2025-03-21，

      Published：25 November 2025

    移动端阅览

  • LI Jiang,WANG Sicheng,LIU Bo.Optimal hoisting capacity assessment and calculation for distributed generation in distribution networks[J].ZHEJIANG ELECTRIC POWER,2025,44(11):103-113. DOI： 10.19585/j.zjdl.202511010.

  •  
  •  

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

An optimal stepwise inertial control strategy for wind turbines based on improved fuzzy adaptive control
A Padé approximation-based frequency response model for modern power systems
Review on dynamic aggregation control and collaborative benefit allocation of distributed flexibility resources
Differential current protection for active distribution networks with dual proportional compensation coefficients
Study on Dynamic Reconfiguration of Active Distribution Network Considering Intermittent DG

Related Author

XU Yan
XU Chao
NI Jun
YAO Jiachen
ZHOU Tao
WANG Huaiyuan
WANG Yiting
LI Jian

Related Institution

School of Automation， Nanjing University of Science and Technology
State Grid Wuxi Power Supply Company
Jiangsu Frontier Electric Power Technology Co.， Ltd.
State Grid Qinghai Electric Power Company
College of Electrical Engineering and Automation， Fuzhou University
0