您当前的位置:
首页 >
文章列表页 >
Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review
Special Issue Commemorating the 10<sup>th</sup> Anniversary of CSEE Journal of Power and Energy Systems | 更新时间:2026-10-16
    • Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review

    • Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review

    • 中国电机工程学会电力与能源系统学报(英文)   2025年11卷第6期 页码:2794-2809
    • DOI:10.17775/CSEEJPES.2025.03200    

      中图分类号:
    • 纸质出版:2025-11-01

    移动端阅览

  • Haiwang Zhong, Yanhong Liu, Zekuan Yu, 等. Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(6):2794-2809. DOI: 10.17775/CSEEJPES.2025.03200.

    Haiwang Zhong, Yanhong Liu, Zekuan Yu, et al. Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review[J]. CSEE Journal of Power and Energy Systems, 2025, 11(6): 2794-2809. DOI: 10.17775/CSEEJPES.2025.03200.

  •  
  •  
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

Collective Intelligence and Application Potentials in Modern Power Systems: A Comprehensive Review
Learning to Optimize Joint Chance-Constrained Power Dispatch Problems
Impacts of COVID-19 Pandemic on Italian Electricity Demand and Markets
Solution to Coordination of Transmission and Distribution for Renewable Energy Integration into Power Grids: An Integrated Flexibility Market
Automated Two-stage Conversion of Hourly Optimal DC Flow Solution to AC Power Flow

相关作者

Tianjiao Pu
Jiaxin Cao
Xinying Wang
Dongxia Zhang
Meiyi Li
Javad Mohammadi
Mahmood Hosseini Imani
Ettore Bompard

相关机构

China Electric Power Research Institute
Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin
Dipartimento Energia, Politecnico di Torino
Department of Electrical Engineering, Northeast Electric Power University
Key Laboratory of Smart Grid of Ministry of Education, Key Laboratory of Smart Energy & Information Technology of Tianjin Municipality, Tianjin University
0