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Frequency Response of Windowed DFT Phasor Estimation: Impact on Oscillation Observability

Jiahui Yang, Yuru Wu, Haozong Wang, Yu Liu, Biao Sun, Yilu Liu, Clifton Black

Abstract

Phasor measurement units (PMUs) are widely used for sub-synchronous oscillation monitoring, yet the effect of windowed discrete Fourier transform (DFT)-based phasor estimation on oscillation observability is not fully characterized. This letter derives the complete complex-valued frequency response of the windowed DFT phasor estimator under both magnitude and phase modulation. The analysis shows that the estimation window introduces both frequency-dependent magnitude attenuation and phase shift to oscillation components, governed by the complex gain. A simple recovery method is also proposed to restore the true oscillation amplitude and phase from PMU data using the analytically known complex gain. The results are validated through time-domain simulations and provide guidance for industry practitioners on interpreting PMU-based oscillation measurements and selecting appropriate window lengths.

Frequency Response of Windowed DFT Phasor Estimation: Impact on Oscillation Observability

Abstract

Phasor measurement units (PMUs) are widely used for sub-synchronous oscillation monitoring, yet the effect of windowed discrete Fourier transform (DFT)-based phasor estimation on oscillation observability is not fully characterized. This letter derives the complete complex-valued frequency response of the windowed DFT phasor estimator under both magnitude and phase modulation. The analysis shows that the estimation window introduces both frequency-dependent magnitude attenuation and phase shift to oscillation components, governed by the complex gain. A simple recovery method is also proposed to restore the true oscillation amplitude and phase from PMU data using the analytically known complex gain. The results are validated through time-domain simulations and provide guidance for industry practitioners on interpreting PMU-based oscillation measurements and selecting appropriate window lengths.
Paper Structure (9 sections, 14 equations, 3 figures, 1 table)

This paper contains 9 sections, 14 equations, 3 figures, 1 table.

Figures (3)

  • Figure 1: Magnitude of the complex gain $H_1$ versus oscillation frequency $f_m$.
  • Figure 2: Complex-plane trajectory, magnitude, and phase of $H_1(e^{j\lambda})$.
  • Figure 3: Phasor data using windowed DFT at 60 fps.