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Title: | A PMU-based algorithm of synchronous generator stability prediction during a disturbance |
Authors: | Senyuk, M. Moiseichenkov, A. Kovalenko, P. Mukhin, V. |
Issue Date: | 2022 |
Publisher: | EDP Sciences |
Citation: | Senyuk, M, Moiseichenkov, A, Kovalenko, P & Mukhin, V 2021, 'A PMU-based algorithm of synchronous generator stability prediction during a disturbance', E3S Web of Conferences, Том. 288, стр. 01031. https://doi.org/10.1051/e3sconf/202128801031 Senyuk, M., Moiseichenkov, A., Kovalenko, P., & Mukhin, V. (2021). A PMU-based algorithm of synchronous generator stability prediction during a disturbance. E3S Web of Conferences, 288, 01031. https://doi.org/10.1051/e3sconf/202128801031 |
Abstract: | A PMU-based algorithm of synchronous generator stability prediction is proposed and tested in the paper. The algorithm is based on the application of the equal area criterion for the following spaces: active power - load angle, active power - time. The deceleration area is formed using the least squares curve fitting by the second order polynomial. The algorithm was tested on the single synchronous machine power system. A number of transients was simulated with the power angle curve polynomial accuracy of 50 ms. The results have shown high adaptability and efficiency of the proposed algorithm. It can be used in adaptive protection and control devices to form control actions aimed at ensuring the stability of a power system operation. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/) |
URI: | http://elar.urfu.ru/handle/10995/131598 |
Access: | info:eu-repo/semantics/openAccess cc-by |
License text: | https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ |
Conference name: | 18 February 2021 through 20 February 2021 |
Conference date: | 2021 International Symposium on Sustainable Energy and Power Engineering, SUSE 2021 |
SCOPUS ID: | 85145561686 |
PURE ID: | 33314542 808d3cf7-0006-4c04-9aa4-8a118c9e7e96 |
ISSN: | 2555-0403 |
DOI: | 10.1051/e3sconf/202128801031 |
Sponsorship: | RF R Russian Foundation for Basic Research, РФФИ, (20-38-90140) Funding text 1: The reported study was funded by RF R, project number 20-38-90140. Funding text 2: The reported study was funded by RFBR, project number 20-38-90140. |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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