高电压技术2023，Vol.49Issue(12)：4982-4992,11.DOI:10.13336/j.1003-6520.hve.20221608
利用电缆HFCT高速采样的系统暂态扰动辨识
System Transient Disturbance Identification Using Cable HFCT High Speed Sampling
摘要
Abstract
The transient disturbance signals scattered throughout the power system are not easily captured by the substa-tion monitoring equipment.Therefore,high frequency current transformers(HFCTs)installed in the cable accessories were used as the source of high-speed signal acquisition to realize the identification of transient disturbance signals in this paper.Firstly,transient disturbance signal sampling experiments were conducted using real HFCT samples,demonstrating the feasibility and effectiveness of HFCT in collecting transient disturbance signals.Then,by in-depth analysis of the spe-cific characteristics of the transient disturbance signal with prominent high frequency and weak signal after being filtered by the HFCT,a transient disturbance identification method based on multiple time-frequency feature matrices was pro-posed.A parameter-optimized variational modal decomposition was applied to deconstruct the high-frequency weak waveform signal into multiple components with different center frequencies,in which waveform characteristic matrix could be extracted.Besides,Wigner-Ville distribution time-frequency analysis was performed on different frequency components to obtain the time-frequency spectrum and to extract the time-frequency spectrum feature matrix of each component.Finally,the waveform feature matrix and the time-frequency spectrum feature matrix were combined to con-struct a multiple time-frequency feature matrix,which was input into the long short-term memory network for transient disturbance signal classification and identification.Tests using experimental data illustrate that the multiple time-frequency feature matrix proposed in this paper can fully mine the local details of high-frequency weak signals,and it is suitable for the classification and identification of transient disturbance signals filtered by HFCT with dramatic an-ti-noise performance.The method proposed in this paper provides a novel monitoring idea and method for the classification and identification of transient disturbance signals.关键词
暂态扰动/HFCT/高速采样/多重时频特征/分类辨识Key words
transient disturbance/HFCT/high-speed sampling/multiple time-frequency features/classification and identification引用本文复制引用
李露露,高恩福,张明保,钟羽朋,王开正..利用电缆HFCT高速采样的系统暂态扰动辨识[J].高电压技术,2023,49(12):4982-4992,11.基金项目
国家自然科学基金(52007079 （）
52367008) （）
云南省基础研究计划(202101AU070027).Project supported by National Natural Science Foundation of China(52007079 （202101AU070027）
52367008),Yunnan Provincial Basic Research Program(202101AU070027). （202101AU070027）
