您当前的位置：
首页 >
文章列表页 >
Adaptive control strategy for VSG parameters in photovoltaic storage systems based on EWOA-RBF neural network
New Energy | 更新时间：2026-01-20

    • Adaptive control strategy for VSG parameters in photovoltaic storage systems based on EWOA-RBF neural network

    • “The latest research proposes an adaptive control strategy for inertia and damping of optical storage VSG based on EWOA and RBFNN, effectively suppressing active overshoot and frequency deviation, and improving system dynamic stability.”
    • ZHEJIANG ELECTRIC POWER   Vol. 45, Issue 1, Pages: 78-89(2026)

    • DOI：10.19585/j.zjdl.202601008    

      CLC：

    • Received：14 April 2025，

      Revised：2025-05-05，

      Published：25 January 2026

    移动端阅览

  • ZHANG Haoya,SHAO Wenquan,WU Chengfeng,et al.Adaptive control strategy for VSG parameters in photovoltaic storage systems based on EWOA-RBF neural network[J].ZHEJIANG ELECTRIC POWER,2026,45(01):78-89. DOI： 10.19585/j.zjdl.202601008.

  •  
  •  

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

A virtual inertia allocation method based on grey wolf optimization
A virtual inertia assessment and frequency support technology for wind-storage power generation system
Inertia characteristics and the real-time sensing technology of new-type power systems
Nonlinear Gray Predictive Control for Superheated Steam Temperature
Research on the Effect of Virtual Synchronous Generator on Small Disturbance Stability of Multi-machine Power System

Related Author

ZHU Zimin
WU Genzhu
ZHANG Lu
DUAN Yu
NAN Dongliang
YANG Li
LAN Yixi
LIN Ling

Related Institution

State Grid Xinjiang Electric Power Co., Ltd. Research Institute
School of Electrical Engineering, Xinjiang University
Economic Research Institute of State Grid Zhejiang Electric Power Company
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)
College of Electrical Engineering,Zhejiang University
0