Stability analysis of parallel virtual synchronous generators and suppression of low-frequency oscillations

Peng Zhang; Haixin Wang; Mingchao Xia; Dan Doru Micu; Hassan Bevrani; Zhe Chen; Guiqing Ma; Fei Zheng; Junyou Yang; Jincheng Li; Shouhang Zhou

doi:10.1049/enc2.70036

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

Stability analysis of parallel virtual synchronous generators and suppression of low-frequency oscillations

更新时间：2026-05-21

- Stability analysis of parallel virtual synchronous generators and suppression of low-frequency oscillations
- Stability analysis of parallel virtual synchronous generators and suppression of low-frequency oscillations
- Energy Conversion and Economics 2026年7卷第2期
- 作者机构：
  
  1. School of Electrical Engineering, Shenyang University of Technology,Shenyang,China
  2. Contribution: Methodology, Software, Visualization, Writing - original draft
  3. ,and
  4. Contribution: Methodology, Writing - review & editing
  5. Contribution: Writing - review & editing
  6. Department of Electrotechnics, EnTReC Technical University of Cluj-Napoca, Cluj-Napoca,Romania
  7. Contribution: Visualization, Writing - review & editing
  8. Department of Electrical Engineering, University of Kurdistan, Sanandaj,Iran
  9. Department of Energy Technology, Aalborg University, Aalborg,Denmark
  10. Contribution: Software, Writing - review & editing
  11. State Grid (Liaoning) Electric Vehicle Service Co., Ltd.,Shenyang,China
- 作者简介：
- 基金信息：
- DOI：10.1049/enc2.70036
  中图分类号：
- 纸质出版：2026
- 稿件说明：
移动端阅览
Peng Zhang, Haixin Wang, Mingchao Xia, 等. Stability analysis of parallel virtual synchronous generators and suppression of low-frequency oscillations[J]. Energy Conversion and Economics, 2026,7(2).

Peng Zhang, Haixin Wang, Mingchao Xia, et al. Stability analysis of parallel virtual synchronous generators and suppression of low-frequency oscillations[J]. Energy Conversion and Economics, 2026, 7(2).
Peng Zhang, Haixin Wang, Mingchao Xia, 等. Stability analysis of parallel virtual synchronous generators and suppression of low-frequency oscillations[J]. Energy Conversion and Economics, 2026,7(2). DOI： 10.1049/enc2.70036.

Peng Zhang, Haixin Wang, Mingchao Xia, et al. Stability analysis of parallel virtual synchronous generators and suppression of low-frequency oscillations[J]. Energy Conversion and Economics, 2026, 7(2). DOI： 10.1049/enc2.70036.

摘要

Abstract

With the increasing penetration of power electronic devices in power systems

virtual synchronous generator (VSG) technology has garnered widespread attention for its ability to provide inertia and damping support to the grid. However

while simulating the external characteristics of synchronous generators

this technology also introduces inherent rotor oscillation issues. Particularly in multi-machine parallel operation

insufficient system damping can easily lead to low-frequency oscillations

threatening system stability and equipment safety. To address this issue

this paper first establishes a small-signal model for multi-VSG parallel grid connection. Subsequently

a Phillips-Heffron model tailored for multi-VSG parallel structures is constructed

revealing the fundamental cause of system oscillations under disturbances. Building upon this foundation and drawing inspiration from traditional power system stabilizer design principles

a virtual power system stabilizer control strategy tailored for multi-VSG parallel grid-connected systems is proposed. Finally

the proposed control strategy is validated through MATLAB/Simulink simulations. The simulation results demonstrate that

compared to conventional control methods

the proposed VPSS control strategy effectively suppresses low-frequency oscillations in the system

significantly enhancing overall stability.

关键词

Keywords

references

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Towards practical oscillation detection in wind farms: Comparative study of AI models, novel metrics, and edge implementations

State of health estimation for lithium-ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning

HSL-CFS: Hybrid stacked learning with cooperative feature selection for cyberattack detection in smart grids

Bi-level capacity planning for park IES considering energy supply reliability

Full-stage risk management of forecast deviation for large-scale renewable energy participating in the spot market