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电力系统故障录波数据压缩与重构小波基选择 被引量:19

Wavelets Selection of Compression and Reconstruction Algorithm Based on Digital Recorded Data from a Faulted Power System
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摘要 电力系统高压或超高压电网故障录波数据压缩与重构工具的选择,到目前为止还没有一个统一的模型和评价标准。详细分析了现有故障录波数据压缩与重构算法的优缺点,研究和阐述了各主要小波基的性能、特点,针对高压、超高压电网故障诊断、故障录波数据压缩与重构的实际需求,提出了将故障录波数据压缩比、信号重构的失真率、故障时刻定位误差率以及计算时间作为综合评价故障录波数据压缩与重构工具选择的依据。通过理论分析和大量ATP仿真以及华东电网实际故障录波数据验证分析表明,双正交提升小波对故障录波信号压缩与重构具有明显的优越性,并成功地将双正交提升小波应用到某电力公司故障诊断系统。 In order to provide a accredited compression and reconstruction models and associated evaluating criterions for a high- voltage or extra-high voltage power system fault recorder, this paper presents detailed analysis of advantages and disadvantages about the recently used compression and reconstruction tools and expatiates on main characteristics of the wavelets. Based on that, synthesized guidelines of evaluating the compression and reconstruction performance of digital recorded fault data, such as ~ompression ratio, signal reconstruction distortion error, fault time detection error and total calculating time for high-voltage or extra-high-voltage power system fault diagnosis, are proposed. By using theoretic analysis, ATP simulation and the actual recorded data of East China power grid, it is shown that the modified bi-orthogonal lifting wavelets have significant superiority in signal compression and reconstruction. This paper demonstrates that the algorithm can be successfully applied in a fault diagnosis system of an electric power company.
出处 《电力系统自动化》 EI CSCD 北大核心 2005年第17期64-67,97,共5页 Automation of Electric Power Systems
关键词 故障录波 数据压缩与重构 双正交小波 提升算法 digital fault recorded data compression and reconstruction bi-orthogonal wavelets lifting scheme
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  • 1苗世洪,孙扬声,吴小辰.基于电力系统故障信息远程通信的高效数据压缩与解压技术研究[J].电力系统自动化,1996,20(5):53-55. 被引量:14
  • 2薄志谦.新一代电力系统继电保护──暂态保护[J].电网技术,1996,20(3):34-36. 被引量:41
  • 3哈恒旭 张保会 吕志来.基于暂态量超高压输电线路无通信保护的研究(Transient Based EHV Transmission Lines Non-communication Protection Research)[A]..电力系统及其自动化会议论文集(In:E1ectric Power System and Its Automation Conference Paper Vo1ume)[C].,1999.745-749.
  • 4MarkNelson著 贾东起译.数据压缩技术原理与范例[M].北京:科学出版社,1995..
  • 5Chui C K. Wavelets: A Tutorial in Theory and Application.Boston: Academic Press, 1992.
  • 6Daubechies I. The Wavelet Transform, Time-frequency Location and Signal Analysis. IEEE Trans on Information Theory, 1990, 36(5): 961-1005.
  • 7Buneman P, Naqvi S. Principles of Programming with Complex Objects and Collection Type. Theoretical Computer Science,1995, 149(1): 3-48.
  • 8Kopf U, Feser K. Rejection of Narrow-band Noise and Repetitive Pulse in On-site PD Measurements. IEEE Trans on Dielectrics and Electrical Insulation, 1998, 30(1): 110-115.
  • 9Unser M, Aldroubi A, Eden M. The L2 Polynomial Spline Pgramid: a Discrete Multiresolution Representation of Continuous Signal. IEEE PAMI, 1993, 15(4): 364-379.
  • 10苗世洪,电力系统自动化,1995年,19卷,7期

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