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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。
Up to now, there has not been a unified model and evaluation standard for the selection of data compression and reconstruction tools for power system high-voltage or ultra-high voltage power grid fault recording. The advantages and disadvantages of the existing fault recorder data compression and reconstruction algorithms are analyzed in detail. The performance and characteristics of the main wavelet bases are studied and elaborated. According to the practical problems of fault diagnosis and fault compression data compression and reconstruction of high voltage and ultrahigh voltage power systems, Requirements, put forward the fault recorder data compression ratio, the signal reconstruction of the distortion rate, the fault time positioning error rate and calculation time as a comprehensive evaluation of fault recorder data compression and reconstruction tool selection basis. Through theoretical analysis and a large number of ATP simulation and actual fault recording data analysis of East China Power Grid, it is shown that the biorthogonal lifting wavelet has obvious superiority to the compression and reconstruction of fault recording signal. The biorthogonal lifting wavelet is successfully applied to A power company fault diagnosis system.