A New Approach to Predict Swing of Generators by Using Dynamic Equivalent Model Estimated from Real-time Data

Yanagihashi, Ken; Imai, Shinichi; Shoji, Toshiya; Sato, Masahiro; Ishihara, Yuji

doi:10.1541/ieejpes1990.118.10_1186

Cited by 3 publications

(3 citation statements)

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“…The general-purpose power system simulation software EURO-STAG was used for analysis. Table 2 compares the eigenvalues obtained by applying phase difference fluctuations caused by the load variation in Table 1 to model (3) to (6) with the eigenvalues for the WEST 30-machine system model. The latter eigenvalues were obtained using the EUROSTAG eigenvalue calculation function, assuming the first and second modes with the longest period.…”

Section: Example Of Analysis For West30 Systemmentioning

confidence: 99%

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Identification of characterization factor for power system oscillation based on multiple synchronized phasor measurements

Hashiguchi

Watanabe

Matsushita

et al. 2008

Electrical Engineering Japan

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SUMMARYElectric power systems in Japan are composed of remote and distributed location of generators and loads mainly concentrated in large-demand areas. The structures having long-distance transmission tend to produce heavy power flow with increasing electric power demand. In addition, some independent power producers (IPP) and power producer and suppliers (PPS) are participating in the power generation business, which makes power system dynamics more complex. However, there was little observation as a whole power system. In this paper the authors present a global monitoring system of power system dynamics by using the synchronized phasor measurement of demand-side outlets. Phasor Measurement Units (PMU) are synchronized based on the global positioning system (GPS). The purpose of this paper is to show oscillation characteristics and methods for processing original data obtained from PMU after certain power system disturbances triggered by accidents. This analysis resulted in the observation of the lowest and the second lowest frequency mode. The derivation of eigenvalue with the two-degree-offreedom model brings a monitoring of two oscillation modes. Signal processing based on wavelet analysis and simulation studies to illustrate the obtained phenomena are presented in detail.

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Section: Example Of Analysis For West30 Systemmentioning

confidence: 99%

“…Such an approach is advantageous in that the equipment parameters can be estimated online without unit decommissioning [2]. Particularly in recent years, various methods of online monitoring have been proposed [1,3,4]. These methods place emphasis on widearea control to flexibly handle variations of the system state.…”

Section: Introductionmentioning

confidence: 99%

Identification of characterization factor for power system oscillation based on multiple synchronized phasor measurements

Hashiguchi

Watanabe

Matsushita

et al. 2008

Electrical Engineering Japan

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“…In an experimental result presented in the next section, the change of the mechanical input of the generator is within 5%, while the change of the generator output is about 20 to 25%. Therefore, the mechanical input is assumed to be constant during midterm [11,12].…”

Section: Construction Of Two-machine Equivalent Power Systemmentioning

confidence: 99%

Midterm stability evaluation of wide‐area power system using synchronized phasor measurements

Ota

Ukai

Nakamura

et al. 2004

Electrical Engineering Japan

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SUMMARYIn recent years, the PMU (Phasor Measurement Unit) has received a great deal of attention as a synchronized measurement system of power systems. Synchronized phasor angles obtained by the PMU provide valuable information for evaluating the stability of a bulk power system. The aspect of instability phenomena during midterm tends to be more complicated, and the stability analysis using the synchronized phasor measurements is effective in order to keep a complicated power system stable. This paper proposes a midterm stability evaluation method for the wide-area power system using synchronized phasor measurements. By clustering the power system to some coherent groups, step-out is predicted on the basis of an aggregated two-machine equivalent power system. The midterm stability of a longitudinal power system model of Japan's 60-Hz systems constructed by a hybrid-type power system simulator is practically evaluated using the proposed method.

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Identification of Characterization Factor for Power System Oscillation Based on Multiple Synchronized Phasor Measurements

et al. 2005

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Electric power systems in Japan are composed of remote and distributed location of generators and loads mainly concentrated in large demand areas. The structures having long distance transmission tend to produce heavy power flow with increasing electric power demand. In addition, some independent power producers (IPP) and power producer and suppliers (PPS) are participating in the power generation business, which makes power system dynamics more complex. However, there was little observation as a whole power system. In this paper the authors present a global monitoring system of power system dynamics by using the synchronized phasor measurement of demand side outlets. Phasor Measurement Units (PMU) are synchronized based on the global positioning system (GPS). The purpose of this paper is to show oscillation characteristics and methods for processing original data obtained from PMU after certain power system disturbances triggered by some accidents. This analysis resulted in the observation of the lowest and the second lowest frequency mode. The derivation of eigenvalue with two degree of freedom model brings a monitoring of two oscillation modes. Signal processing based on Wavelet analysis and simulation studies to illustrate the obtained phenomena are demonstrated in detail.GPS 2

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A New Approach to Predict Swing of Generators by Using Dynamic Equivalent Model Estimated from Real-time Data

Cited by 3 publications

References 1 publication

Identification of characterization factor for power system oscillation based on multiple synchronized phasor measurements

Identification of characterization factor for power system oscillation based on multiple synchronized phasor measurements

Midterm stability evaluation of wide‐area power system using synchronized phasor measurements

Identification of Characterization Factor for Power System Oscillation Based on Multiple Synchronized Phasor Measurements

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