2006 IEEE Power Engineering Society General Meeting 2006
DOI: 10.1109/pes.2006.1708904
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Analysis of wide-area frequency measurement of bulk power systems

Abstract: Field-measured frequency data from a nation-wide 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 El… Show more

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Cited by 23 publications
(7 citation statements)
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“…This issue has become even more challenging due to the expansion of power system interconnections and integration of distributed generators and renewable energy resources [16,17]. Wide area measurement system (WAMS) implements the disturbance detection by collecting measurements from local sensors (wire, cable, or wireless) and managing it on a central server [18][19][20][21][22].…”
Section: Power System Disturbance Classificationmentioning
confidence: 99%
“…This issue has become even more challenging due to the expansion of power system interconnections and integration of distributed generators and renewable energy resources [16,17]. Wide area measurement system (WAMS) implements the disturbance detection by collecting measurements from local sensors (wire, cable, or wireless) and managing it on a central server [18][19][20][21][22].…”
Section: Power System Disturbance Classificationmentioning
confidence: 99%
“…In the past decade, the construction of wide area measurement system (WAMS) provided the synchronised data from wide area to the data processing centre online [2]. The analysis methods based on the measured signals have been widely employed to estimate the oscillatory parameters of LFOs and the corresponding mode shapes.…”
Section: Introductionmentioning
confidence: 99%
“…An internet-based real-time GPS synchronized wide area Frequency Monitoring Network(FNET) has been monitoring the power system frequency in continuous time at more than 40 locations in the United States, and accumulated the measurement in its database [1][2][3]. Since frequency is one of the most informative parameters indicating the power balance in the power system, the actual frequency responses to a system disturbance can help us understand the global characteristics of the bulk power systems more correctly and develop the analysis tool of the power systems status.…”
Section: Introductionmentioning
confidence: 99%