Visualization of Wide-Area Frequency Measurement Information

Bank, Jason; Gardner, R. Matthew; Tsai, S.-J.S.; Kook, Kyung Soo; Li, Fangxing

doi:10.1109/pes.2007.385507

Cited by 18 publications

(4 citation statements)

References 5 publications

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“…This section will introduce wide-area frequency and angle visualization in the FNET system to enhance the awareness of system dynamic behavior. The realtime displays and movies generated from historic data layout the measurement points geographically and interpret data at unknown points using a variety of surface fitting techniques [2,18]. The result is a color-coded gradient that gives an idea of the overall system dynamic behavior at a given time.…”

Section: Wide-area Frequency and Angle Visualizationmentioning

confidence: 99%

Synchronized Phasor Measurement in Smart Grid Situational Awareness

Jia

Gardner

Xia

et al. 2012

Smart Power Grids 2011

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Situational awareness (SA) is recognized as a key functionality in smart grids. With the large scale deployment of synchronized phasor measurements in the United States and worldwide, wide-area situational awareness is greatly improved due to the high sampling speed, new granularity of phasor values, and time synchronization. Synchronized measurements enhance the monitoring of overall bulk power system dynamic behavior; providing critical information for understanding and responding to power system disturbances. In this chapter, an overview of successful synchrophasor applications to enhance situational awareness is discussed. Topics include event triggering, event size estimation, event location, oscillation detection and modal analysis for disturbances impacting the bulk power system. Real-time wide-area frequency and phase angle visualization will also be discussed. Several examples of wide area situational awareness in the North American power grid are given. Future challenges and trends are discussed.

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Section: Wide-area Frequency and Angle Visualizationmentioning

confidence: 99%

Synchronized Phasor Measurement in Smart Grid Situational Awareness

Jia

Gardner

Xia

et al. 2012

Smart Power Grids 2011

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“…Figure 10 (b) shows the frequency distribution of the transiting condition. The frequency distribution surfaces can also be used to monitor other system events such as generator tripping and transmission line tripping [20].…”

Section: Visualization Of Frequency Distributionmentioning

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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“…In monitoring the wide-area power system frequency of the U.S. power grid 04], interesting characteristics such as frequency wave, frequency drop propagation speed, and dependency on power flow directions have been observed from the frequency measurement [5][6][7][8][9]. Various applications have also been studied [8][9][10][11][12]. Among these applications, location estimation of the tripped generator covering all interconnected power systems is one of the most promising outcomes [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Wide-area Frequency-based Tripped Generator Locating Method for Interconnected Power Systems

Kook¹,

Li²

2011

Journal of Electrical Engineering and Technology

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-Since the Internet-based real-time Global Positioning System(GPS) synchronized widearea power system frequency monitoring network (FNET) was proposed in 2001, it has been monitoring the power system frequency in interconnected United States power systems and numerous interesting behaviors have been observed, including frequency excursion propagation. We address the consistency of a frequency excursion detection order of frequency disturbance recorders in FNET in relation to the same generation trip, as well as the ability to recreate by power systems dynamic simulation. We also propose a new method, as an application of FNET measurement, to locate a tripped generator using power systems dynamic simulation and wide-area frequency measurement. The simulation database of all the possible trips of generators in the interconnected power systems is created using the off-line power systems dynamic simulation. When FNET detects a sudden drop in the monitoring frequency, which is most likely due to a generation trip in power systems, the proposed algorithm locates a tripped generator by finding the best matching case of the measured frequency excursion in the simulation database in terms of the frequency drop detection order and the time of monitoring points.

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Visualization of Wide-Area Frequency Measurement Information

Cited by 18 publications

References 5 publications

Synchronized Phasor Measurement in Smart Grid Situational Awareness

Synchronized Phasor Measurement in Smart Grid Situational Awareness

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

Wide-area Frequency-based Tripped Generator Locating Method for Interconnected Power Systems

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