您当前的位置:
首页 >
文章列表页 >
Bi-level optimization based two-stage market clearing model considering guaranteed accommodation of renewable energy generation
Original Research | 更新时间:2026-09-30
    • Bi-level optimization based two-stage market clearing model considering guaranteed accommodation of renewable energy generation

    • Protection and Control of Modern Power Systems   Vol. 7, Issue 3, Pages: 1-13(2022)
    • DOI:10.1186/s41601-022-00253-y    

      CLC:
    • Published:01 July 2022

    移动端阅览

  • Qianya He, Zhenjia Lin, Haoyong Chen, et al. Bi-level optimization based two-stage market clearing model considering guaranteed accommodation of renewable energy generation[J]. Protection and Control of Modern Power Systems, 2022, 7(3): 1-13. DOI: 10.1186/s41601-022-00253-y.

  •  
  •  
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

2

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

A Newly Permittable Spatially Coupled Demand Response Model for Fast Charging Station Loads
Optimal Planning of Renewable Energy and Storage Considering Capacity Credit Constraint
Integrated Energy-Water Nexus Optimization in Rural Microgrids: Leveraging Quantum-classical Robust Optimization for Sustainability
Synergistic Carbon Trading and Power Generation Decision Considering the Annual Compliance Cycle and Market Response: A Hybrid Mathematical-Deep Reinforcement Learning Optimization Approach
Enhanced Resilience and Efficiency in Multi-Energy Systems via Stochastic Gradient-Driven Robust Optimization

Related Author

Min Chen
Mengjie Liu
Yujie Sheng
Qinglai Guo
Renshun Wang
Shilong Wang
Guangchao Geng
Quanyuan Jiang

Related Institution

Department of Electrical Engineering, Beijing Jiaotong University
Department of Electrical Engineering, Tsinghua University
State Grid Fujian Electric Power Dispatching and Control Center, State Grid Fujian Electric Power Co., Ltd.
College of Electrical Engineering, Zhejiang University
State Grid Electric Power Research Institute (NARI Group Corporation)
0