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跟网型直驱风机并网系统暂态同步稳定的支路能量判据

刘铖 王盈月 张宇驰 蔡国伟 曹志冲

电力系统自动化2025,Vol.49Issue(14):22-30,9.
电力系统自动化2025,Vol.49Issue(14):22-30,9.DOI:10.7500/AEPS20240723003

跟网型直驱风机并网系统暂态同步稳定的支路能量判据

Branch Energy Criterion for Transient Synchronization Stability of Grid-connected System with Grid-following Direct-drive Permanent Magnet Synchronous Generator

刘铖 1王盈月 1张宇驰 1蔡国伟 1曹志冲1

作者信息

  • 1. 现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012
  • 折叠

摘要

Abstract

The large-scale integration of renewable energy units has led to complex dynamic behaviors in power systems.There is a risk of failure in traditional transient synchronization stability analysis methods.And the transient synchronization stability problem of grid-following direct-drive permanent magnet synchronous generator(GFL-PMSG)under faults is becoming increasingly prominent.To address this issue,this paper proposes a quantitative criterion for transient synchronization stability in GFL-PMSG grid-connected systems based on branch energy.First,considering the varying response speeds of control loops in GFL-PMSG,a second-order nonlinear reduced-order model is established.Based on the characteristics of this reduced-order model and the distribution pattern of line voltage,a branch energy function for the GFL-PMSG grid-connected system is constructed.Then,the differences in branch energy distribution between stable and unstable systems are analyzed,and the influence of system parameters on branch energy distribution is examined.Subsequently,the key branches that characterize system stability are identified,and a quantitative criterion of transient synchronization stability based on network information is developed.Finally,simulation analysis verifies the effectiveness of the proposed stability criterion.

关键词

暂态同步稳定性/锁相环/跟网型直驱风机/支路能量/降价模型

Key words

transient synchronization stability/phase-locked loop/grid-following direct-drive permanent magnet synchronous generator/branch energy/reduced-order model

引用本文复制引用

刘铖,王盈月,张宇驰,蔡国伟,曹志冲..跟网型直驱风机并网系统暂态同步稳定的支路能量判据[J].电力系统自动化,2025,49(14):22-30,9.

基金项目

国家自然科学基金资助项目(52377082). This work is supported by National Natural Science Foundation of China(No.52377082). (52377082)

电力系统自动化

OA北大核心

1000-1026

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