电力系统故障录波数据压缩与重构小波基选择

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。

Wavelets Selection of Compression and Reconstruction Algorithm Based on Digital Recorded Data from a Faulted Power System

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 'compression 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.