Subsynchronous Oscillation Localization Method for Wind-thermal Bundled System Under Improved Robust Principal Component Analysis

XU Yanhui; ZHU Aijiu; LIANG Yangdou; LING Wuneng; XIONG Li; LIANG Zhencheng; LUO Cuiyun

doi:10.19725/j.cnki.1007-2322.2024.0030

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Subsynchronous Oscillation Localization Method for Wind-thermal Bundled System Under Improved Robust Principal Component Analysis

更新时间：2026-04-02

- Subsynchronous Oscillation Localization Method for Wind-thermal Bundled System Under Improved Robust Principal Component Analysis
- Vol. 43, Issue 2, Pages: 201-212(2026)
- 作者机构：
  
  1. 华北电力大学电气与电子工程学院, 北京市昌平区,102206
  2. 广西电网有限责任公司电力调度控制中心, 广西壮族自治区,南宁市,530023
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0030
  CLC： 2
- Published：2026
- 稿件说明：
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XU Yanhui, ZHU Aijiu, LIANG Yangdou, et al. Subsynchronous Oscillation Localization Method for Wind-thermal Bundled System Under Improved Robust Principal Component Analysis[J]. 2026, 43(2): 201-212.
DOI：

XU Yanhui, ZHU Aijiu, LIANG Yangdou, et al. Subsynchronous Oscillation Localization Method for Wind-thermal Bundled System Under Improved Robust Principal Component Analysis[J]. 2026, 43(2): 201-212. DOI： 10.19725/j.cnki.1007-2322.2024.0030.

摘要

随着风力发电机的大量并网，次同步振荡事件频繁发生，对电力系统安全稳定运行造成严重威胁。准确定位振荡源对抑制振荡起到关键作用，因此提出一种广域量测数据驱动的风火打捆系统次同步振荡溯源方法。首先，推导风电并网系统次同步谐波功率扰动下火电机组受迫振荡的解析表达式，构建强迫次同步振荡高振幅分量的低秩特性矩阵；在此基础上，结合自增强稀疏权重和鲁棒主成分分析法提取次同步强迫振荡的主要特征，实现风火打捆系统次同步振荡精准溯源。最后，基于电磁暂态仿真软件PSCAD/EMTDC搭建三机系统和IEEE 39节点系统，仿真结果验证了所提次同步振荡溯源方法的有效性。结果表明，基于改进鲁棒主成分分析法的强迫次同步振荡溯源方法在不依赖拓扑信息的情况下，能够实现振荡的精准溯源。

Abstract

The integration of large-scale wind farms into the grid leads to subsynchronous oscillation events

which poses a consistent threat to the safety and stability of the power system. The accurate location of the oscillation source plays an important role in mitigating oscillations. Therefore

in this paper we introduce a synchrophasor data-driven method for the localization of forced subsynchronous oscillation. Firstly

we derive the analytical expression for the oscillation within thermal power units caused by subsynchronous harmonic disturbance in the wind power grid-connected system. Subsequently

the low-rank characteristic matrices are constructed for forced subsynchronous oscillation components. On this basis

the sparse weights of self-augmentation and robust principal component analysis are combined to extract the main features of forced subsynchronous oscillation and achieve accurate localization in the wind-thermal bundled system. Finally

a three-machine system and an IEEE 39-node system are constructed to verify the improved robust principal component analysis on PSCAD/EMTDC. The simulation results demonstrate that the improved robust principal component analysis can intuitively locate the source of forced subsynchronous oscillation in the absence of grid topology information.

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references

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