WAMS中基于摆门趋势的同步相量数据压缩

Xiaojun Wang, Ying Yan, Fang Zhang, S. M. Rizvi, Jinghan He, Guohong Wu
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引用次数: 2

摘要

由于接入的相量测量单元(pmu)采集的数据量大,需要占用较大的存储空间,并且可能造成通信系统延迟。提出了一种广域测量系统中基于摆门趋势(PSDT)的实时同步相量数据压缩方法。原始数据来自中国西南贵州电网某水电站的pmu。将基于小波的数据压缩和SDT与所提出的压缩技术进行了比较。采用TVE和NMSE作为数据重构精度的指标。PSDT压缩比高于对比压缩。结果表明,在保证重建精度的前提下,PSDT可以获得较高的压缩比,减少原始数据的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synchronous Phasor Data Compression Based on Swing Door Trending in WAMS
The large amount of data collected by the accessed phasor measurement units(PMUs) requires large storage space and may cause the communication system delay. This paper proposes a real-time synchronous phasor data compression based on swing door trending(PSDT) in the wide area measurement system(WAMS). The raw data comes from PMUs of a hydropower plant in Guizhou Power Grid in Southwest China. The wavelet-based data compression and the SDT are compared with the proposed compression technique. TVE and NMSE are used as indicators of the accuracy of data reconstruction. The compression ratio of PSDT is higher than that of compared compression. The result demonstrates that PSDT can obtain a high compression ratio and reduce the number of original data under the condition of guaranteeing the reconstruction accuracy.
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