Study of global frequency dynamic behavior of large power systems

Tsai, Shu-Jen Steven; Zhang, Li; Phadke, A.G.; Li, Fangxing; Ingram, Michael; Bell, Sally; Grant, I. S.; Bradshaw, D.T.; Lubkeman, David; Tang, Lijun

doi:10.1109/psce.2004.1397518

Cited by 42 publications

(10 citation statements)

References 9 publications

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“…Wide area measurements using PMUs [30] are the most advanced form of monitoring as they are synchronized by a Global Positioning Satellite (GPS) system to the order of 1 s and this time stamped data gives the operator in the control room a coherent and dynamic view of the network. Synchrophasor measurement capabilities have been available as stand alone units (PMU).…”

Section: Frequency and Voltage Measurement Techniquesmentioning

confidence: 99%

Application of active power sensitivity to frequency and voltage variations on load shedding

Girgis

Mathure

2010

Electric Power Systems Research

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Section: Frequency and Voltage Measurement Techniquesmentioning

confidence: 99%

Application of active power sensitivity to frequency and voltage variations on load shedding

Girgis

Mathure

2010

Electric Power Systems Research

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“…It is difficult to determine the frequency perturbation arrival time or the sequence. Therefore, the event location estimation method [11,17] and the speed estimation method [18] are invalid. Figure 4 shows the separated frequency curves of the three sites in Figure 2.…”

Section: Oscillations Detection Using Prony Analysismentioning

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 Sichuan power grid, with the help of three sets of FNTE installed in Chengdu Panzhihua and Chongqing people found that frequencies in Chengdu Panzhihua and Chongqing are temporally and spatially distributed during the 5.12 earthquake [3]. In References [4] [5], the author studied the frequency sensitivity and electromechanical disturbance propagation velocity in Eastern United States power grid and the United States power grid. Similarly in this paper we study the frequency sensitivity and electromechanical disturbance propagation of an actual power system in China basing on simulations.…”

Section: Introductionmentioning

confidence: 99%

Simulation Study on Electromechanical Disturbance Propagation in Large Power System

Chen¹,

Hu²,

Wang³

2015

JPEE

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Power systems are subjected to all kinds of random disturbances, showing the electromechanical dynamic. A lot of theoretical researches show that the disturbance power and frequency is propagating in the form of wave which is called electromechanical wave. But electromechanical wave theory is not widely used in actual power system. In this paper we focus on simulation study of electromechanical wave frequency sensitivity and propagation velocity and elaborating the simulation results with the electromechanical wave theory. Finally some summaries and expectations on electromechanical wave study are made.

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Study of global frequency dynamic behavior of large power systems

Cited by 42 publications

References 9 publications

Application of active power sensitivity to frequency and voltage variations on load shedding

Application of active power sensitivity to frequency and voltage variations on load shedding

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

Simulation Study on Electromechanical Disturbance Propagation in Large Power System

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