摘要
针对CEEMDAN在风电场行波检测中可能面临噪声残余和模态杂散问题导致故障定位失效,文章提出ICEEMDAN与改进Teager能量算子(NTEO)相结合的电流行波故障定位新方法。采用ICEEMDAN算法把电流行波信号分解为固有模态分量和残差分量,有效抑制了模态混叠;然后结合NTEO算法的高分辨率对一阶高频信号再次去噪,增强行波的故障突变特征;根据瞬时能量峰值特征精确标定行波波头初次到达时间,实现快速可靠故障定位。仿真表明,ICEEMDAN-NTEO与CEEMDAN-NTEO均能够精确地标定故障行波波头,但ICEEMDAN-NTEO行波故障定位方法具有更好的鲁棒性。
Aiming to solve the problem of possible CEEMDAN fault location failure caused by noise residual and modal spurious problems in wind farm station side traveling wave detection,a new method of current traveling wave fault location based on ICEEMDAN and NTEO is proposed.The ICEEMDAN algorithm that can efficiently mitigate modal aliasing is employed to decompose the current traveling wave signal into intrinsic mode components and residual components.Subsequently,the NTEO algorithm is utilized to perform denoising on the decomposed first-order high-frequency signal,thereby enhancing the fault mutation characteristics of the traveling wave.According to the instantaneous energy peak characteristics,the first arrival time of the traveling wave head is accurately calibrated to achieve fast and reliable fault location.Simulation results show that while both CEEMDAN-NTEO and CEEMDAN-NTEO can accurately calibrate the fault traveling wave head,ICEEMDAN-NTEO traveling wave fault location method has better robustness.
作者
饶鸿江
彭洁
刘明阳
RAO Hongjiang;PENG Jie;LIU Mingyang(School of Physics,Electrical and Energy Engineering,Chuxiong Normal University,Chuxiong,Yunnan Province 675000)
出处
《楚雄师范学院学报》
2025年第3期20-28,共9页
Journal of Chuxiong Normal University
基金
云南省基础研究计划青年项目(No.202401AU070125)
云南省地方本科高校联合基金青年项目(No.202301BA070001-114)
楚雄师范学院校级大学生科研项目(No.XSKY2314)。
