Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate

Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate

The study examines the development and testing of algorithms for disturbance inception time estimation in a power system using instantaneous values of current and voltage with a high sampling rate. The algorithms were tested on both modeled and physical data. The error of signal extremum forecast, t...

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Bibliographic Details
Main Authors: Mihail Senyuk, Svetlana Beryozkina, Pavel Gubin, Anna Dmitrieva, Firuz Kamalov, Murodbek Safaraliev, Inga Zicmane
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Mathematics
Subjects:
approximation
digital signal processing
mathematical modeling
power system
statistical analysis
time-series analysis
Online Access:https://www.mdpi.com/2227-7390/10/21/3949

Internet

https://www.mdpi.com/2227-7390/10/21/3949

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