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
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
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
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| Автор |
Senyuk, M.
Beryozkina, S. Gubin, P. Dmitrieva, A. Kamalov, F. Safaraliev, M. Zicmane, I. |
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| Тематика |
APPROXIMATION
DIGITAL SIGNAL PROCESSING MATHEMATICAL MODELING POWER SYSTEM STATISTICAL ANALYSIS TIME-SERIES ANALYSIS |
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| Описание |
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, the error of signal form forecast, and the signal value at the so-called joint point provided the basis for the suggested algorithms. The method of tuning for each algorithm was described. The time delay and accuracy of the algorithms were evaluated with varying tuning parameters. The algorithms were tested on the two-machine model of a power system in Matlab/Simulink. Signals from emergency event recorders installed on real power facilities were used in testing procedures. The results of this study indicated a possible and promising application of the suggested methods in the emergency control of power systems. © 2022 by the authors.
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| Дата |
2024-04-08T11:06:11Z
2024-04-08T11:06:11Z 2022 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) Published version (info:eu-repo/semantics/publishedVersion) |
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| Идентификатор |
Senyuk, M, Beryozkina, S, Gubin, P, Dmitrieva, A, Kamalov, F, Safaraliev, M & Zicmane, I 2022, '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', Mathematics, Том. 10, № 21, 3949. https://doi.org/10.3390/math10213949
Senyuk, M., Beryozkina, S., Gubin, P., Dmitrieva, A., Kamalov, F., Safaraliev, M., & Zicmane, I. (2022). 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. Mathematics, 10(21), [3949]. https://doi.org/10.3390/math10213949 2227-7390 Final All Open Access; Gold Open Access https://www.mdpi.com/2227-7390/10/21/3949/pdf?version=1667277718 https://www.mdpi.com/2227-7390/10/21/3949/pdf?version=1667277718 http://elar.urfu.ru/handle/10995/131292 10.3390/math10213949 85141839006 000882323300001 |
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| Язык |
en
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| Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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| Формат |
application/pdf
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| Издатель |
MDPI
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| Источник |
Mathematics
Mathematics |
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