D3: Report on existing and new algorithms with their corresponding uncertainty estimation, including a software system for controlling, handling and processing SV data streams for sampling rates up to 96 kSa/s
Year: 2025
Type: article
Abstract: This report, part of the 21NRM02 Digital-IT project, presents a comprehensive evaluation of existingand newly developed algorithms for processing Sampled Value (SV) data streams in digitalsubstations, with a focus on high-precision parameter evaluation and uncertainty estimation andat sampling rates up to 96 kSa/s. The study introduces several signal processing techniques includingcubic spline, upsample-filter-decimate resampling and windowed RMS. These algorithmsare assessed for their ability to estimate amplitude, phase, frequency, power, and harmonic contentunder asynchronous sampling and noise. A dedicated approach for DC transient decay timeestimation is also proposed. Performance comparisons and Monte Carlo uncertainty analyseshighlight the trade-offs between accuracy and computational complexity. Finally, the algorithmswere integrated into the QWTB framework and accompanied by a graphical user interface tosupport widespread adoption in metrology and power system diagnostics.
Author: Lapuh, Rado
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7082654890
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