Use of Frequency Oscillations to Improve Event Location Estimation in Power Systems

Zuo, Jian; Baldwin, Mark W.; Zhang, Hengxu; Dong, Junwei; Kook, Kyung Soo; Liu, Yilu

doi:10.1109/pes.2007.385995

Cited by 13 publications

(9 citation statements)

References 6 publications

(7 reference statements)

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“…In other words, the site oscillation amplitude is not closely related to the distance from the perturbation place but the mode observability. The traditional viewpoint "the closer to the perturbation place, the greater the oscillation amplitude" [16] is not absolute.…”

Section: Mode Analysis Of Measured Signalsmentioning

confidence: 99%

Power system low frequency oscillation monitoring and analysis based on multi-signal online identification

Yuan

Sun

Cheng

et al. 2010

Sci. China Technol. Sci.

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The advance in the wide-area measurement system (WAMS) is driving the power system to the trend of wide-area monitoring and control. The Prony method is usually used for low frequency oscillation online identification. However, the identified amplitude and phase information is not sufficiently used. In this paper, the amplitude is adopted to detect the occurrence of the oscillation and to obtain the mode observability of the sites. The phase is adopted to identify the oscillation generator grouping and to obtain the mode shapes. The time varying characteristics of low frequency oscillations are studied. The behaviors and the characters of low frequency oscillations are displayed by dynamic visual techniques. Demonstrations on the "11.9" low frequency oscillation of the Guizhou Power Grid substantiate the feasibility and the validation of the proposed methods. wide area measurement system (WAMS), low frequency oscillation, Prony algorithm, mode observability Citation: Yuan Y, Sun Y Z, Cheng L, et al. Power system low frequency oscillation monitoring and analysis based on multi-signal online identification. Sci

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Section: Mode Analysis Of Measured Signalsmentioning

confidence: 99%

Power system low frequency oscillation monitoring and analysis based on multi-signal online identification

Yuan

Sun

Cheng

et al. 2010

Sci. China Technol. Sci.

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“…These travel times are different because there are many parallel transfer paths. An expert system for locating generator trip based on the FNET data is described in [16].…”

Section: A Disturbance Detection Using Bus Frequencymentioning

confidence: 99%

Preliminary synchronized phasor data analysis of disturbance events in the US Eastern Interconnection

Chow

Vanfretti

Armenia

et al. 2009

2009 IEEE/PES Power Systems Conference and Exposition

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Abstract-This paper presents analysis results of synchronized phasor data from 10 disturbance events recorded in the US Eastern Interconnection (EI). The phasor data covers a wide region in the EI, allowing for the study of disturbance propagation, interarea modes, and oscillations in voltages and currents. The analysis is not straightforward because the EI is a meshed system with adequate interarea mode damping. Disturbances involving tripping a single large generator unit produce very short interarea swing responses. Islanding events involving regions at the perimeter, however, provide more prominent responses for analysis.

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“…The wide area measurement system constructed by the phasor measurement unit (PMU), provides support for the online monitoring and security assessment of power system. FNET has achieved similar functions of widearea frequency gathering on the user side, online automatic detecting and alarming events [6][7][8], but frequency deviation security assessment is not involved. Two different quantitative assessment methods have been proposed for transient frequency deviation security assessment in [9] and [10], which laid a theoretical foundation for online frequency security assessment.…”

Section: Introductionmentioning

confidence: 99%

Online Security Assessment of Power System Frequency Deviation

Zhang

Hou

Liu

2012

2012 Asia-Pacific Power and Energy Engineering Conference

Self Cite

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Large frequency deviation during transient progress has effects on system stability, primary components security and products quality. Online monitoring and security analysis on frequency based on the wide-area measurement system have great significance. A wide area data collecting system from 220V user side is introduced. A method to quantitatively assess the transient frequency deviation security is presented, which takes into account the frequency deviation cumulative effect. The implementation of online security assessment of transient frequency deviation is described in detail, including data filtering, online computation of security margin, automatic alarming of security broken, etc. According to collected data from the actual operation of power system, the state of frequency has been statistically analyzed. The system is playing an important role in large scale power dynamics analysis, and is a helpful complement to numerical simulation.

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Use of Frequency Oscillations to Improve Event Location Estimation in Power Systems

Cited by 13 publications

References 6 publications

Power system low frequency oscillation monitoring and analysis based on multi-signal online identification

Power system low frequency oscillation monitoring and analysis based on multi-signal online identification

Preliminary synchronized phasor data analysis of disturbance events in the US Eastern Interconnection

Online Security Assessment of Power System Frequency Deviation

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