Method for digital processing of a three-phase signal for extraction symmetric components
https://doi.org/10.37493/2307-907X.2022.3.1
Abstract
The paper proposes to the development of methods for assessing the level of current and voltage asymmetry in three-phase electrical networks. The main direction of research in this work is the creation of a simple hardware-oriented method for extracting symmetrical components from an asymmetric three-phase system of vectors. The paper proposes a new algorithm for digital signal processing of a three-phase system of voltages and/or currents, which makes it possible to implement the function of a digital filter of symmetrical components. The algorithm is based on the results of synchronous measurements of instantaneous voltages and/or currents. There is no need in the algorithm to determine the angular ratios of the three-phase system vectors. In addition, the algorithm is freed from the need to use complex numbers when calculating symmetric components. The result of the algorithm is oscillograms of symmetrical components, presented as sets of discrete samples. The algorithm is based on the simplest arithmetic operations with instantaneous values of synchronously measured parameters of a three-phase system. The proposed algorithm makes it possible to reduce the requirements for the computing power of measuring instruments without losing the accuracy of estimating the vectors of symmetrical components. The algorithm can be used to implement on its basis digital filters of pozitive, negative or zero-sequence voltages and/or currents.
About the Authors
A. М. PetrovRussian Federation
Petrov Anton, Ph. D. in Technical Sciences, Associate Professor of the Department Automated Electric Power Systems and Power Supply
D. A. Kostyukov
Russian Federation
Kostyukov Dmitry, senior lecturer of the Department Automated Electric Power Systems and Power Supply
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Review
For citations:
Petrov A.М., Kostyukov D.A. Method for digital processing of a three-phase signal for extraction symmetric components. Newsletter of North-Caucasus Federal University. 2022;(3):7-15. (In Russ.) https://doi.org/10.37493/2307-907X.2022.3.1