您当前的位置:
首页 >
文章列表页 >
FPGA-Based Real-Time Simulation for EV Station with Multiple High-Frequency Chargers Based on C-EMTP Algorithm
Original Research | 更新时间:2026-09-30
    • FPGA-Based Real-Time Simulation for EV Station with Multiple High-Frequency Chargers Based on C-EMTP Algorithm

    • FPGA-based real-time simulation for EVstation with multiple high-frequencychargers based on C-EMTP algorithm

    • 现代电力系统保护与控制(英文)   2020年5卷第4期 页码:1-11
    • DOI:10.1186/s41601-020-00171-x    

      中图分类号:
    • 纸质出版:2020-10-01

    移动端阅览

  • Zirun Li, Jin Xu, Keyou Wang, 等. FPGA-Based Real-Time Simulation for EV Station with Multiple High-Frequency Chargers Based on C-EMTP Algorithm[J]. 现代电力系统保护与控制(英文), 2020,5(4):1-11. DOI: 10.1186/s41601-020-00171-x.

    Zirun Li, Jin Xu, Keyou Wang, et al. FPGA-based real-time simulation for EVstation with multiple high-frequencychargers based on C-EMTP algorithm[J]. Protection and Control of Modern Power Systems, 2020, 5(4): 1-11. DOI: 10.1186/s41601-020-00171-x.

  •  
  •  
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

2

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

Short-Term Prediction of Wind Farm Cluster Power Based on Bidirectional Interactive Fusion of Homogeneous and Heterogeneous Information
A Pilot Protection Method for Active Distribution Networks Based on Improved Fréchet Distance
Robust Voltage Control for Active Distribution Networks via Safe Deep Reinforcement Learning Against State Perturbations
Enhanced Resilience and Efficiency in Multi-Energy Systems via Stochastic Gradient-Driven Robust Optimization
Low-Carbon Economic Dispatch in Integrated Energy Systems: A Set-Based Interval Optimization with Decision Support Under Uncertainties

相关作者

Zhe Zhang
Bo Wang
Mao Yang
Zhao Wang
Wei Zhang
Tao Huang
Xin Su
Xiang Li

相关机构

Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University
The National Key Laboratory of Renewable Energy Grid-Integration, China Electric Power Research Institute
The Department of Energy, Politecnico di Torino, Torino
School of Electrical Engineering, Shandong University
Electric Power Research Institute of State Grid Shandong Electric Power Company
0