您当前的位置:
首页 >
文章列表页 >
Approaches for optimal planning of energy storage units in distribution network and their impacts on system resiliency
更新时间:2025-12-18
    • Approaches for optimal planning of energy storage units in distribution network and their impacts on system resiliency

    • CSEE Journal of Power and Energy Systems   Vol. 6, Issue 4, Pages: 816-833(2020)
    • DOI:10.17775/CSEEJPES.2019.01280    

      CLC:
    • Published:2020

    移动端阅览

  • V. Balaji Venkateswaran, Devender K. Saini, Madhu Sharma. Approaches for optimal planning of energy storage units in distribution network and their impacts on system resiliency[J]. CSEE Journal of Power and Energy Systems, 2020, 6(4): 816-833. DOI: 10.17775/CSEEJPES.2019.01280.

  •  
  •  
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

Views

1

下载量

1

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

Optimal Islanding for Restoration of Power Distribution Systems Using Prim's MST Algorithm
Partial Solution Operator Discretization-Based Methods for Efficiently Computing Least-Damped Eigenvalues of Large Time Delayed Power Systems
Coordinated Planning of Interconnected Multi-Regional Power Systems Considering Large-Scale Energy Storage Systems, Transmission Expansion, and Carbon Emission Quota Trading
Restoration of High-Renewable-Penetrated Distribution Systems Considering Uncertain Repair Workloads
Overvoltage Calculation Method for Sending System Under DC Fault Disturbance Considering the Influence of Renewable Energy

Related Author

Kaka Sanaullah
Mingchao Xia
Mazhar Hussain
Sharafat Hussain
Ammar Tahir
Hua Ye
Xiaofan Jia
Muyang Liu

Related Institution

School of Electrical Engineering. Beijing Jiaotong University
School of Computer and Information Technology, Beijing Jiaotong University
Key Laboratory of Power System Intelligent Dispatch, and Control of Ministry of Education, Shandong University
School of Electrical Engineering, Xinjiang University
State Grid Jiangsu Electric Power Research Institute
0