Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/131124
Title: Stability margins monitoring system performance evaluation for various methods of transfer capacity calculations with transient stability constraints
Authors: Neuymin, V.
Mashalov, E.
Aleksandrov, A.
Snegirev, D.
Klassen, V.
Teplukhin, D.
Issue Date: 2023
Publisher: EDP Sciences
Citation: Neuymin, V, Mashalov, E, Aleksandrov, A, Snegirev, D, Klassen, V & Teplukhin, D 2023, 'Stability margins monitoring system performance evaluation for various methods of transfer capacity calculations with transient stability constraints', E3S Web of Conferences, Том. 461, 01036. https://doi.org/10.1051/e3sconf/202346101036
Neuymin, V., Mashalov, E., Aleksandrov, A., Snegirev, D., Klassen, V., & Teplukhin, D. (2023). Stability margins monitoring system performance evaluation for various methods of transfer capacity calculations with transient stability constraints. E3S Web of Conferences, 461, [01036]. https://doi.org/10.1051/e3sconf/202346101036
Abstract: The purpose of this work is to determine ways to increase the performance of available power transfer capacity analysis with transient stability constraints, as well as to evaluate the accuracy of the proposed methods. A number of developed methods for performance improvement of available power transfer capacity (APTC) analysis with transient stability (TS) constraints in the stability margins monitoring system (SMMS) were discussed in this article, in particular: network reduction, transient stability analysis with implicit integration method, parallel computing of contingencies, and sequential TS simulations startup. In addition, evaluations of the method's accuracy of APTC calculations with TS constraints for various power transmissions were carried out. © The Authors, published by EDP Sciences.
URI: http://elar.urfu.ru/handle/10995/131124
Access: info:eu-repo/semantics/openAccess
cc-by
License text: https://creativecommons.org/licenses/by/4.0/
Conference name: 2023 Rudenko International Conference on Methodological Problems in Reliability Study of Large Energy Systems, RSES 2023
Conference date: 9 July 2023 through 15 July 2023
SCOPUS ID: 85182763717
PURE ID: 51609277
ISSN: 2555-0403
DOI: 10.1051/e3sconf/202346101036
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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