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Wavelets Selection of Compression and Reconstruction Algorithm Based on Digital Recorded Data from a Faulted Power System
Author(s): FEI Ming-wei, YUE Quan-ming, ZHANG Pei-chao, YU Wei-yong, WANG Zhong-min, ZHANG QI-ming, ZHOU Lan
Pages: 64-
67,97
Year: 2005
Issue:
17
Journal: AUTOMATION OF ELECTRIC POWER SYSTEMS
Keyword: 故障录波; 数据压缩与重构; 双正交小波; 提升算法;
Abstract: 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.
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