CAJ | 학술논문

行波波头的准确辨识可有效提高配电网行波故障测距的准确度，为此，该文提出利用改进的希尔伯特-黄变换(HHT)对行波波头进行准确标定。首先利用自适应噪声的完全集合经验模态分解方法对故障信号进行分解，提取高频固有模态函数分量，再利用希尔伯特变换得到高频固有模态函数分量的瞬时幅值，由瞬时幅值确定行波波头到达测量端的时刻。针对含有多段缆-线混合线路的配网，利用上述方法对初始行波波头到达故障馈线两端的时刻进行标定后，再利用基于接点时差的双端测距原理实现故障测距。针对不同故障时间、故障位置、接地电阻等情况进行仿真实验，结果表明所提方法测距准确度高，具有较高的可行性和实用性。
행파파두적준학변식가유효제고배전망행파고장측거적준학도，위차，해문제출이용개진적희이백특-황변환(HHT)대행파파두진행준학표정。수선이용자괄응조성적완전집합경험모태분해방법대고장신호진행분해，제취고빈고유모태함수분량，재이용희이백특변환득도고빈고유모태함수분량적순시폭치，유순시폭치학정행파파두도체측량단적시각。침대함유다단람-선혼합선로적배망，이용상술방법대초시행파파두도체고장궤선량단적시각진행표정후，재이용기우접점시차적쌍단측거원리실현고장측거。침대불동고장시간、고장위치、접지전조등정황진행방진실험，결과표명소제방법측거준학도고，구유교고적가행성화실용성。
As accurate identification of travelling wave front can improve the location of travelling wave faults in distribution networks,this paper has proposed to recognize the travelling wave front via the improved Hilbert-Huang transformation (HHT). First,the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) was used to decompose fault signals; second,high-frequency intrinsic mode function components were extracted and their instantaneous amplitudes were obtained by using Hilbert transform to determine the time of the wave front arriving at the measurement end. For the distribution network mixed with multiple overhead cables and lines,the above methods were used to calibrate the time the first travelling wave front arrived at both ends of the fault feeder, and then the fault was detected through two-terminal fault location based on the difference of travelling wave propagation time at each connection point. The proposed method is accurate and applicable as demonstrated by simulation experiments for different fault time and locations and ground resistances.