您当前的位置：
首页 >
文章列表页 >
Distributionally robust low-carbon operation method of gas-electricity-hydrogen coupled distribution network considering two-stage refined modeling of power to gas
Electric Power Automation Equipment   Vol. 45, Issue 9, Pages: 28-37(2025)
SPECIAL COLUMN：GREEN HYDROGEN ENABLES CARBON-NEUTURAL ENERGY SYSTEM | 更新时间：2025-09-09

    • Distributionally robust low-carbon operation method of gas-electricity-hydrogen coupled distribution network considering two-stage refined modeling of power to gas

    • “In the field of integrated energy systems, experts have proposed a low-carbon economic operation optimization model for gas electric hydrogen coupled distribution networks, which effectively absorbs excess renewable energy and provides new ideas for the development of low-carbon electricity.”

    • DOI：10.16081/j.epae.202504015    

      CLC： TM734;TK91

    • Received：15 June 2024，

      Revised：2024-12-24，

      Published Online：29 April 2025，

      Published：10 September 2025

    移动端阅览

  • XIE Mengmeng,HE Chuan,LIU Xuan,et al.Distributionally robust low-carbon operation method of gas-electricity-hydrogen coupled distribution network considering two-stage refined modeling of power to gas[J].Electric Power Automation Equipment,2025,45(09):28-37. DOI： 10.16081/j.epae.202504015.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Outline
No Sections

Related Articles

Voltage control strategy of distribution network based on continuous-time optimal scheduling of mobile energy storage
Distributionally robust multi-level reinforcement strategy for distribution network considering decision-dependent uncertainty
Optimal operation strategy of integrated energy microgrid participating in multiple markets based on spectral risk measure-distributionally robust
Distributionally robust optimal operation of virtual power plant considering reversible solid oxide cells
Distributionally robust low-carbon scheduling of integrated energy system considering source-load collaborative carbon reduction under multiple time scales

Related Author

ZHANG Baoyun
WANG Dan
GU Bo
LI Wenhao
MAO Chengxiong
DING Zeyu
HE Chuan
LIU Xuan

Related Institution

School of Electrical and Electronic Engineering， Huazhong University of Science and Technology
State Key Laboratory of Advanced Electromagnetic Technology，Huazhong University of Science and Technology
Engineering Research Center of Offshore Wind Technology，Ministry of Education， Shanghai University of Electric Power
School of Electrical Engineering，Southeast University
Hubei Collaborative Innovation Center for New Energy Microgrid，China Three Gorges University
0