| 引用本文: | 李泽文,刘柏罕,熊毅,赵廷,郭田田,谭木子.基于SR-ITD的故障行波检测方法[J].电力自动化设备,2017,37(2): |
| LI Zewen,LIU Bohan,XIONG Yi,ZHAO Ting,GUO Tiantian,TAN Muzi.Fault traveling wave detection based on SR-ITD[J].Electric Power Automation Equipment,2017,37(2): |
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| 摘要: |
| 针对变电站提取行波信号存在强噪声干扰的现状，提出了一种基于随机共振-固有时间尺度分解(SR-ITD)的行波信号检测方法。该方法利用随机共振法处理检测信号，有效提高了行波信号的信噪比，再利用固有时间尺度分解方法分析行波信号，实现行波信号特征信息的准确检测。理论分析和仿真结果表明，所提方法在变电站强噪声干扰下能有效提取行波信号，准确检测行波信号包含的故障特征信息。 |
| 关键词: 故障行波 随机共振 固有时间尺度分解 噪声 故障定位 |
| DOI：10.16081/j.issn.1006-6047.2017.02.018 |
| 分类号:TM77 |
| 基金项目:国家自然科学基金资助项目(51577013,51377012)；湖南省自然科学杰出青年基金资助项目(2015JJ1001)；湖南省教育厅重点项目(14A002)；湖南省高校科技成果产业化培育项目(13CY008) |
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| Fault traveling wave detection based on SR-ITD |
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LI Zewen, LIU Bohan, XIONG Yi, ZHAO Ting, GUO Tiantian, TAN Muzi
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The Grid Security Monitoring Technology Engineering Research Center of the Ministry of Education, Changsha University of Science and Technology, Changsha 410076, China
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| Abstract: |
| Since the traveling wave signal is interfered by strong noise during its extraction in substation, a method of traveling wave signal detection based on SR-ITD(Stochastic Resonance-Intrinsic Time scale Decomposition) is proposed, which applies the stochastic resonance method to effectively enhance its signal-noise ratio during the processing of detected signal and then the intrinsic time scale decomposition to analyze the traveling wave signal for the accurate detection of its characteristic information. Theoretical analysis and simulative results indicate that, the proposed method can effectively extract the traveling wave signals from the strong noise disturbances of substation and accurately detect the contained fault information. |
| Key words: fault traveling wave stochastic resonance intrinsic time-scale decomposition noise electric fault location |
