您当前的位置:
首页 >
文章列表页 >
Optimal Capacity Configuration Method for Multi-Microgrid System Utilizing Wind-Solar-Electric-Hydrogen Hybrid Energy Storage
Modeling, Simulation and Optimal Operation of Integrated Energy System Based on Swarm Intelligence | 更新时间:2025-07-29
    • Optimal Capacity Configuration Method for Multi-Microgrid System Utilizing Wind-Solar-Electric-Hydrogen Hybrid Energy Storage

    • In the field of power systems, experts have proposed a capacity optimization configuration method for multi microgrid systems, which effectively reduces load peak valley differences and network losses, and improves power quality.
    • Power Generation Technology   Vol. 46, Issue 2, Pages: 240-251(2025)
    • DOI:10.12096/j.2096-4528.pgt.24175    

      CLC: TK 02;TM 727
    • Received:05 August 2024

      Revised:2024-11-10

      Published:30 April 2025

    移动端阅览

  • LIU Zhong,HUANG Yanming,ZHU Guangming,et al.Optimal Capacity Configuration Method for Multi-Microgrid System Utilizing Wind-Solar-Electric-Hydrogen Hybrid Energy Storage[J].Power Generation Technology,2025,46(02):240-251. DOI: 10.12096/j.2096-4528.pgt.24175.

  •  
  •  

0

Views

0

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

Robust Optimal Scheduling Strategy for Virtual Power Plant Participation in Electric Energy and Demand Response Markets Under Multiple Uncertainties
A Frequency Regulation Method of Energy Storage System Based on Adaptive Adjustment of Virtual Synchronous Generator Control Parameters
Optimal Control Strategy of Peak Shaving of Flow Battery Energy Storage System Under High Wind Power Permeability
Capacity Allocation of Wind Farm Energy Storage System Considering Economic Function
Status and Prospect Analysis of Wind Power Utilization Technology in China

Related Author

WANG Yushen
CHEN Haoyong
HUANG Yuxiang
WU Xiaobin
ZHU Yanjin
ZHANG Jianbin
ZHANG Chong
LI Bo

Related Institution

School of Electric Power Engineering, South China University of Technology
Guangdong U&P Thinktank Energy Science and Technology Development Co., Ltd.
State Grid Tianjin Electric Power Company Binhai Power Supply Branch, Binhai New Area
State Grid Dandong Power Supply Company
School of Electrical Engineering, Northeast Electric Power University
0