Sub-synchronous oscillation suppression strategy research for grid-forming direct-drive permanent magnet synchronous generator based on adaptive notch filter

SUN Dongyang; JIAO Yingzi; MENG Fanyi; WANG Shuai; SUN Li

doi:10.15938/j.emc.2024.12.009

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Sub-synchronous oscillation suppression strategy research for grid-forming direct-drive permanent magnet synchronous generator based on adaptive notch filter

更新时间：2025-06-03

- Sub-synchronous oscillation suppression strategy research for grid-forming direct-drive permanent magnet synchronous generator based on adaptive notch filter
- Electric Machines and Control Vol. 28, Issue 12, Pages: 82-96(2024)
- 作者机构：
  
  哈尔滨理工大学电气与电子工程学院，黑龙江哈尔滨 150080
  哈尔滨工业大学电气工程及自动化学院，黑龙江哈尔滨 150001
- 作者简介：
- 基金信息：
- DOI：10.15938/j.emc.2024.12.009
  CLC： TM346
- Received：16 April 2024，
  
  Published：2024-12
- 稿件说明：
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SUN Dongyang, JIAO Yingzi, MENG Fanyi, et al. Sub-synchronous oscillation suppression strategy research for grid-forming direct-drive permanent magnet synchronous generator based on adaptive notch filter[J]. Electric Machines and Control, 2024, 28(12): 82-96.
DOI：

SUN Dongyang, JIAO Yingzi, MENG Fanyi, et al. Sub-synchronous oscillation suppression strategy research for grid-forming direct-drive permanent magnet synchronous generator based on adaptive notch filter[J]. Electric Machines and Control, 2024, 28(12): 82-96. DOI： 10.15938/j.emc.2024.12.009.

摘要

电网发生次同步振荡（SSO）时，会对构网型直驱永磁风力发电机（D-PMSG）网侧变流器的控制性能造成不利影响，进而威胁到整个系统的稳定性。为了解决这一问题，提出一种基于自适应陷波器（ANF）的SSO抑制策略。首先，深入分析SSO对基于虚拟同步机的构网型D-PMSG网侧控制的影响机理，明确扰动在系统中的传播路径，并研究SSO特性变化对陷波器抑制功能的影响。随后，针对固定参数陷波器在面对SSO频率时变特性时的局限性，研究一种基于改进快速傅里叶变换的SSO参数辨识算法，以实现对SSO频率的实时追踪。在此基础上，设计一种根据参数辨识结果动态更新ANF中心频率的策略，并确定ANF在控制系统中的最佳介入位置，以优化抑制效果。最后，通过搭建仿真模型及实验平台，分析验证所提控制策略对SSO的抑制效果。

Abstract

Sub-synchronous oscillation (SSO) occurring in power grid can adversely affect the control performance of grid-side converter for grid-forming direct-drive permanent magnet synchronous generators (D-PMSG)

thus threatening the stability of entire system. An SSO suppression strategy based on an adaptive notch filter (ANF) was proposed to address this issue. The impact mechanism of SSO on the grid-side control of D-PMSG based on virtual synchronous generators was analyzed thoroughly. Meanwhile

the propagation path of disturbances within the system was clarified. Also

the influence of SSO characteristic variation on the notch filter's suppression function was studied. Subsequently

an SSO parameter identification algorithm based on an improved fast Fourier transform was developed to address the limitations of fixed-parameter notch filters when dealing with the time-varying characteristics of SSO frequencies

enabling real-time tracking of SSO frequencies. On this basis

a strategy for dynamically updating the ANF center frequency according to parameter identification results was designed

and the optimal intervention position of ANF in the control system was determined to optimize suppression effects. Finally

the suppression effect of the proposed control strategy on SSO was analyzed and verified through the construction of simulation models and experimental platforms.

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references

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