Analysis of wide-area frequency measurement of bulk power systems

S. Tsai, Z. Zhong, Jian Zuo, Yilu Liu
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引用次数: 35

Abstract

Field-measured frequency data from a nationwide frequency monitoring network (FNET) are examined in this paper. Wavelet-based denoising signal processing technique is applied to filter out spikes and noises from measured frequency data. System's frequency statistics of three major U.S. power grids are investigated. Comparison between phasor measurement unit (PMU) and FNET data illustrates the close tracking between the two. Several generator trip events in the Eastern Interconnection System and the Western Electricity Coordinating Council system are recorded and the frequency patterns are analyzed. Sample results are shown for a 13 month period of time. In addition to transient states' observation, the quasi-steady-state, such as oscillation, can also be observed by FNET
大容量电力系统广域频率测量分析
本文对全国频率监测网(FNET)的现场测频数据进行了分析。采用基于小波的信号去噪处理技术,从测量频率数据中滤除尖峰和噪声。研究了美国三大电网的系统频率统计。相量测量单元(PMU)和FNET数据的对比说明了两者之间的密切跟踪。记录了东部互联系统和西部电力协调委员会系统中的几起发电机跳闸事件,并对其频率模式进行了分析。样本结果显示为13个月的时间。FNET除了可以观测到瞬态外,还可以观测到振荡等准稳态
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