Testing of an Adaptive Algorithm for Estimating the Parameters of a Synchronous Generator Based on the Approximation of Electrical State Time Series
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Testing of an Adaptive Algorithm for Estimating the Parameters of a Synchronous Generator Based on the Approximation of Electrical State Time Series
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| Автор |
Senyuk, M.
Beryozkina, S. Berdin, A. Moiseichenkov, A. Safaraliev, M. Zicmane, I. |
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| Тематика |
ONLINE MEASUREMENT
PARAMETER ESTIMATION POWER SYSTEMS DYNAMICS SYNCHRONOUS GENERATOR |
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| Описание |
The results of testing the algorithms of the adaptive model of a synchronous generator using theoretical and real physical data are presented in this study. The adaptive model of a synchronous machine is an equations system, which describes both the static and transient operation of a generator. Parameters of the adaptive model are found using measurements of a generator’s operational parameters. The single-machine model was created in Matlab/Simulink software to test the theoretical data. This single-machine model consists of a synchronous generator, a step-up transformer, and a transmission line. The test model also includes models of the automatic voltage regulator and steam turbine governor. The real electrodynamic model was used to verify the adaptive model of a synchronous machine. It consisted of four synchronous generators, with values of power capacity of 5 kW and 15 kW. The data logger with a sampling rate of 57.8 kHz was developed and installed to measure the operating parameters of each generator. As a result of testing on both models, the following values were estimated: inertia moment, d-axis and q-axis reactance, and load angle. These values were compared with the reference values. The adaptive model of a synchronous machine can be used in systems of emergency control and assessment of generator state. © 2022 by the authors.
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| Дата |
2024-04-08T11:06:13Z
2024-04-08T11:06:13Z 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, Berdin, A, Moiseichenkov, A, Safaraliev, M & Zicmane, I 2022, 'Testing of an Adaptive Algorithm for Estimating the Parameters of a Synchronous Generator Based on the Approximation of Electrical State Time Series', Mathematics, Том. 10, № 22, 4187. https://doi.org/10.3390/math10224187
Senyuk, M., Beryozkina, S., Berdin, A., Moiseichenkov, A., Safaraliev, M., & Zicmane, I. (2022). Testing of an Adaptive Algorithm for Estimating the Parameters of a Synchronous Generator Based on the Approximation of Electrical State Time Series. Mathematics, 10(22), [4187]. https://doi.org/10.3390/math10224187 2227-7390 Final All Open Access; Gold Open Access https://www.mdpi.com/2227-7390/10/22/4187/pdf?version=1668068897 https://www.mdpi.com/2227-7390/10/22/4187/pdf?version=1668068897 http://elar.urfu.ru/handle/10995/131295 10.3390/math10224187 85142459773 000887404400001 |
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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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