Power Spectral Density based Identification of Low frequency ‎Oscillations in Multimachine Power system

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Shetty D.; Prabhu N.

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Journal Paper

Paper Information

Journal: JOURNAL OF OPERATION AND AUTOMATION IN POWER ENGINEERING Year:2023 | Volume:11 | Issue:3 Page(s): 173-181

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Information Journal Paper

Title

Power Spectral Density based Identification of Low frequency ‎Oscillations in Multimachine Power system

Author(s)

Shetty D. | Prabhu N. | Issue Writer Certificate

Keywords

Fast Fourier Transform

Power Spectral Density

Wide area Monitoring system.‎

Abstract

The paper presents a Fast Fourier Transform (FFT) based Power Spectral Density (PSD) filter for denoising the PMU signal received from the smart power system network to identify the low frequency Oscillation modes (LFO). Small disturbances are introduced during normal operation of power system causes low frequency oscillations and may hinder the power system transfer capabilities of a system. The traditional signal processing method cannot extract the information from ambient signals effectively during noisy measurement. In this paper, the performance of the Prony analysis with reduced sampling rate is analysed for the PMU data with noiseless and noise environment. It is observed that, the performance of the Prony approach is not satisfactory under noisy measurement data. In the present work FFT-PSD is used to denoise the noisy measurement signal and identify the nature of the decrement factor of the low frequency oscillatory modes. The accuracy of the estimated decrement factors of modes are verified with eigenvalues to validate the proposed method. The performance of proposed method is compared with signal processing method for IEEE New England power system and found effective and suitable during noisy PMU measurements.

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