邓丰, 曾祥君, 李泽文, 唐欣, 吴雄, 祖亚瑞, 梅龙军. 故障行波全波形时–频特性分析[J]. 中国电机工程学报, 2019, 39(11): 3231-3243. DOI: 10.13334/j.0258-8013.pcsee.181326
引用本文: 邓丰, 曾祥君, 李泽文, 唐欣, 吴雄, 祖亚瑞, 梅龙军. 故障行波全波形时–频特性分析[J]. 中国电机工程学报, 2019, 39(11): 3231-3243. DOI: 10.13334/j.0258-8013.pcsee.181326
DENG Feng, CENG Xiang-jun, LI Ze-wen, TANG Xin, WU Xiong, ZU Ya-rui, MEI Long-jun. Research on Characteristics of Traveling Wave Full-waveform in the Time and Frequency Domains[J]. Proceedings of the CSEE, 2019, 39(11): 3231-3243. DOI: 10.13334/j.0258-8013.pcsee.181326
Citation: DENG Feng, CENG Xiang-jun, LI Ze-wen, TANG Xin, WU Xiong, ZU Ya-rui, MEI Long-jun. Research on Characteristics of Traveling Wave Full-waveform in the Time and Frequency Domains[J]. Proceedings of the CSEE, 2019, 39(11): 3231-3243. DOI: 10.13334/j.0258-8013.pcsee.181326

故障行波全波形时–频特性分析

  • 摘要: 基于行波信号的故障检测以故障行波的产生、传输特性和折、反射机理为基础。故障行波是一个宽频带阶跃信号,兼具时域和频域的波形特性。融合故障行波时–频域波形,该文提出基于全波形信息的故障行波表现形式,全面刻画行波的传播过程;深度挖掘故障行波全波形与网络拓扑结构、故障点位置和故障点参数的关联,分析折射和反射过程、传输函数和故障点参数对行波全波形传播造成的影响,对区内各点故障和区内、外故障,行波全波形的相似性和差异性进行了定性分析;运用时–频域波形相关系数实现行波全波形的有效辨识,通过大量PSCAD/EMTDC仿真,总结区内不同故障点,区内、外故障以及不同故障点参数,行波全波形相关系数的变化规律,为基于行波信息的故障检测技术搭建了坚实的理论基础。

     

    Abstract: Traveling-wave-based fault detection is on the basis of traveling wave transmission characteristic, refraction and reflection mechanism. The fault characteristics of wideband traveling wave under the time-frequency domains were deeply analyzed in this paper. Full-waveform representation of the traveling wave by fusing the characteristics in time-frequency domains was proposed. The relationship between the full-waveform and the topology structure, fault location, transmission characteristics, refraction and reflection process was deeply excavated. And then the correlation and difference of the full-waveform was qualitatively analyzed under different fault locations. On the basis, the full-waveform identification method based on waveform matching technology was presented, which can quantitatively conclude the correlation and difference. The proposed principle was comprehensively used the fault information in the time-frequency domains, which had a clearly physical significance. It forms a new theoretical foundation for the traveling-wave-based fault detection.

     

/

返回文章
返回