Step Change Detection Based on Analytic Signal for PMU Calibrators

Martins, Marcelo Britto; Vasconcellos, Renata T. de Barros e; Esquef, Paulo A. A.

doi:10.1109/amps.2019.8897772

Cited by 3 publications

(1 citation statement)

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“…By means of the Hilbert Transform (HT), it is possible to define the underlying analytic signal and check either its envelope, like in [17] and [18] where reference step location is intended for calibration purposes, or its spectrum [19]. An alternative solution relies on the use of dictionaries of pre-defined set of waveforms, either inspired by the PMU Std test conditions [20] or by suitably modified wavelet functions [21].…”

Section: Introductionmentioning

confidence: 99%

Combining Steady-State Accuracy and Responsiveness of PMU Estimates: An Approach Based on Left and Right Taylor–Fourier Expansions

Frigo,

Gallus,

Pegoraro

et al. 2024

IEEE Trans. Instrum. Meas.

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Modern power systems are characterized by fast dynamics, due to the massive presence of power electronicsbased converters. In this scenario, the present paper proposes an approach for measuring synchrophasor, frequency and rate of change of frequency (ROCOF) that allows to effectively cope with abrupt transients. The method is based on Taylor-Fourier models, which typically consider an observation interval centered on the reporting instant. In this paper, the Taylor expansion is performed on asymmetric windows, that look either at the left or at the right of the measurement instant. A reconstruction algorithm enables a seamless blend between left and right estimates that, while preserving accuracy during steady-state or slowly varying conditions, leads to an exemplary behavior in amplitude and phase step tests, also in the presence of wideband noise. In particular, an M-class compliant estimator is designed to highlight the potentialities of the proposed approach. Zero synchrophasor, frequency and ROCOF response times are obtained, since steady-state accuracy limits are never exceeded in the presence of step variations. From a different point of view, the proposed technique does not return invalid estimates, thus it is capable of tracking also abrupt transitions.

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