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基于S变换的超高压输电线路暂态信号识别方法 被引量:2

Transient Signal Recognition Method for Extra High Voltage Transmission Line Based on S Transform
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摘要 提出利用S变换暂态能量和对单相短路、故障性雷击、非故障性雷击与电容投切等4种常见暂态信号进行分类识别的方法。基于PSCAD/EMTDC的500 kV输电线路仿真模型,产生4种暂态信号,然后利用S变换暂态能量和对各个暂态信号不同频带的暂态能量和进行提取,通过分析比较,得出分类识别的判据。算例验证,该方法具有准确率高、结果直观等优点。 The recognition method for 4 common transient signals: single-phase short circuit, fault lightning strike, non-fault lightning strike, capacitor switch is proposed based on S transform. These 4 transient signals are generated at 500 kV transmission line simulation model by PSCAD/EMTDC, and then the sum of transient energies of different frequency are picked up from these singles by using S transform, and recognition criterions are obtained by analysis and comparison. Examples results show that the proposed method is accurate and intuitionistic.
作者 杨栋
出处 《广西电力》 2011年第5期15-18,39,共5页 Guangxi Electric Power
关键词 暂态信号 S变换 输电线路 识别 transient signal, S transform, transmission line, recognition
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  • 1冯飞,余贻鑫.电力系统功率注入空间的动态安全域[J].中国电机工程学报,1993,13(3):14-22. 被引量:29
  • 2董航,刘涤尘,邹江峰.基于Prony算法的电力系统低频振荡分析[J].高电压技术,2006,32(6):97-100. 被引量:54
  • 3唐巍,陈学允.BP算法应用于电力系统暂态稳定分析的新策略[J].电力系统自动化,1997,21(3):47-50. 被引量:10
  • 4王晓茹.基于小波变换和神经网络的高压电网故障信号处理与保护研究:博士学位论文[M].成都:西南交通大学,1998..
  • 5任震,黄雯莹,何建军,石志强,杨桦,杨浩.小波分析及其在电力系统中的应用(一)概论[J].电力系统自动化,1997,21(1):5-7. 被引量:39
  • 6McGranaghan M. Trends in power quality monitoring[J]. IEEE Power Engineering Review, 2001,21(10) :3-9.
  • 7Borras D, Castilla M, Moreno N. Wavelet and neural structure:a new tool for diagnostic of power system disturbances [J]. IEEE Trans. on Industry Applications, 2001,37 (1) : 184 - 190.
  • 8Elmitwally A,Farghal S,Kandil M. Proposed wavelet-neurofuzzy combined system for power quality violations detection and diagnosis [J]. IEE Proceedings on Generation, Transmission and Distribution, 2001, 148(1):15-20.
  • 9IEEE Recommended Practice for Monitoring Electric Power Quality. IEEE Std 1159-1995. IEEE, New York,1997.
  • 10Vapnik V N.The Nature of Statistical Learning Theory[M].NewYork:Springer—Verlage,1995.

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