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

TL;DR
This paper analyzes how windowed DFT-based phasor estimation affects the detection of oscillations in power systems, revealing frequency-dependent distortions and proposing a correction method to improve measurement accuracy.
Contribution
It derives the complete frequency response of windowed DFT phasor estimators and introduces a recovery method to correct amplitude and phase distortions.
Findings
Windowed DFT introduces frequency-dependent magnitude attenuation.
Phase shifts caused by the window affect oscillation observability.
Proposed correction restores true oscillation amplitude and phase.
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…
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Taxonomy
TopicsPower System Optimization and Stability · Advanced Electrical Measurement Techniques · Power Systems Fault Detection
