Research on Protection Methods for Offshore Wind Power Low-Frequency Transformers

GAO Shuping; JIA Taohui; SONG Guobing; WANG Chenqing; QUAN Zhe; ZHOU Yongning

doi:10.7652/xjtuxb202605018

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Research on Protection Methods for Offshore Wind Power Low-Frequency Transformers

更新时间：2026-04-27

- Research on Protection Methods for Offshore Wind Power Low-Frequency Transformers
- Journal of Xi'an Jiaotong University Vol. 60, Issue 5, Pages: 185-193(2026)
- 作者机构：
  
  西安科技大学电气与控制工程学院，710054，西安
  西安市电气设备状态监测与供电安全重点实验室，710054，西安
  西安交通大学电气工程学院，710049，西安
  国网江苏省电力有限公司电力科学研究院，211103，南京
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202605018
  CLC： TM772
- Received：15 October 2025，
  
  Published：10 May 2026
- 稿件说明：
移动端阅览
GAO Shuping, JIA Taohui, SONG Guobing, et al. Research on Protection Methods for Offshore Wind Power Low-Frequency Transformers[J]. Journal of Xi'an Jiaotong University, 2026, 60(5): 185-193.
DOI：

GAO Shuping, JIA Taohui, SONG Guobing, et al. Research on Protection Methods for Offshore Wind Power Low-Frequency Transformers[J]. Journal of Xi'an Jiaotong University, 2026, 60(5): 185-193. DOI： 10.7652/xjtuxb202605018.

摘要

针对柔性低频输电系统中的变压器差动电流波形畸变导致传统二次谐波制动原理失效的问题。提出一种基于经验模态分解（EMD）与时域投影面积的低频变压器保护新方法。该方法首先利用EMD将差动电流自适应分解为一系列本征模态函数（IMF）及残余分量；随后计算各IMF分量的时域投影面积，构建故障识别特征量；最后结合理论分析设定判据阈值，实现励磁涌流与区内故障电流的准确识别。基于PSCAD/EMTDC搭建海上风电柔性低频输电系统模型并开展仿真验证。结果表明：所提方法在故障后60 ms内即可完成准确识别，可靠性明显优于传统方法。在0°～90°不同合闸角，3%、5%、7%典型谐波畸变率及20、25、30 dB高斯白噪声等干扰条件下均未出现误判。提出的方法有效克服了传统方法的缺陷，具有较强的鲁棒性，为海上低频输电系统变压器保护提供了一种可行的方法。

Abstract

To address the issue of waveform distortion in differential currents of transformers within flexible low-frequency transmission systems leading to the failure of traditional second harmonic restraint principles

a novel protection method for low-frequency transformers based on empirical mode decomposition (EMD) and time-domain proj ection area is proposed. This method first uses EMD to adaptively decompose the differential current into a series of intrinsic mode functions (IMFs) and a residual component. Subsequently

the time-domain proj ection area of each IMF component is calculated to construct fault identification features. Based on theoretical analysis

threshold criteria are set to accurately distinguish between magnetizing inrush currents and internal fault currents. A simulation model of an offshore wind power flexible low-frequency transmission system was established usingPSCAD/EMTDCfor validation. The results show that the proposed method can achieve accurate identification within 60 ms after a fault occurs

demonstrating significantly higher reliability compared to traditional methods. No misjudgment occurs under various interference conditions

including different closing angles from 0°to 90°

typical harmonic distortion rates of 3%

and 7%

and Gaussian white noise with signal-tonoise ratios of 20

and 30 dB. The proposed method effectively overcomes the shortcomings of traditional approaches

exhibits strong robustness

and provides a feasible solution for transformer protection in offshore low-frequency transmission systems.

关键词

Keywords

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