| Issue |
E3S Web Conf.
Volume 584, 2024
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems” (RSES 2024)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/202458401023 | |
| Published online | 06 November 2024 | |
Methodology for Analysis of System Reliability When Planning States and Balances of Electric Power Systems
1 Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Department of Energy Security, Lermontov str., 130, Irkutsk, 664033, Russia
2 Irkutsk National Research Technical University, Lermontov Str. 83, Irkutsk, 664074, Russia
* Corresponding author: krupenev@isem.irk.ru
The article presents the main provisions of the methodology for analyzing the system reliability of electric power systems when planning their states and balances. The type of system reliability for solving problems when planning the states and balances of electric power systems is called planned reliability. A substantive statement of the problem of assessing planned reliability is formulated, where the main requirements for taking into account the factors influencing the determined indicators are noted. In the general structure of the methodology, based on the sequential Monte Carlo method, three main stages are distinguished: the stage of forming pseudo-random processes of functioning of electric power systems, the stage of analyzing the states of functioning of electric power systems, the stage of calculating the indicators of planned reliability.
© The Authors, published by EDP Sciences, 2024
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.