| Issue |
E3S Web of Conf.
Volume 384, 2023
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems” (RSES 2022)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202338401012 | |
| Published online | 26 April 2023 | |
Coherence indicators of generators for express assessment of electric power system transient stability
1 Melentiev Energy Systems Institute, Electric Power System Department, 664033 Irkutsk, Russia
2 Irkutsk National Research Technical University, Energy Institute, 664074 Irkutsk, Russia
* Corresponding author: d.n.efimov@mail.ru
A brief overview of the generator coherence indicators is presented, the areas and limitations of their applicability are indicated. The application of the area method for the rapid assessment of the transient stability of complex multi-machine electric power system based on the features of the dynamics of the system behavior, determined by the heterogeneous structure of the electrical network, is considered. A distinctive feature of the proposed approach is the use of the characteristics of the heterogeneity of the power system structure, which determine the presence of weak links (or cut-sets) of the electrical network, which are critical from the point of view of a possible violation of the system stability.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.