Оценка параметров токов и напряжений в системах электроснабжения промышленных предприятий с применением дизеринга

A.L. Kulikov; D.S. Fedosov; V.Yu. Vukolov

doi:10.25729/esr.2026.02.0016

Authors

A.L. Kulikov Nizhny Novgorod State Technical University n.a. R. E. Alekseev, Nizhny Novgorod, Russia
D.S. Fedosov Irkutsk National Research Technical University, Irkutsk, Russia
V.Yu. Vukolov Nizhny Novgorod State Technical University, Nizhny Novgorod, Russia

DOI:

https://doi.org/10.25729/esr.2026.02.0016

Keywords:

Dithering, parameter estimation of currents and voltages, industrial power systems, digital signal processing

Abstract

The estimation of current and voltage parameters under power quality deviations from standard values is highly relevant in industrial power systems and is essential for designing protection, automation, and control infrastructure at power facilities. An extensive body of research focuses on the digital processing of power-frequency signals in the presence of interference. Computational digital signal processing algorithms typically rely on the discrete Fourier transform. While this approach delivers high accuracy for current and voltage parameter estimation at the frequency of 50 Hz, it generates erroneous estimates when the sampling rate is asynchronous with the fundamental (power) frequency. This study introduces robust digital signal processing algorithms for currents and voltages under deviations in power quality parameters from their standard (nominal) values. The signal processing and parameter estimation utilize dithered low-bit quantization, which employs specific stochastic signals to ensure accurate and reliable signal processing. The superior performance of the proposed dithering-based algorithms for power-frequency signal processing is validated by simulation results.

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