Issue |
E3S Web Conf.
Volume 224, 2020
Topical Problems of Agriculture, Civil and Environmental Engineering (TPACEE 2020)
|
|
---|---|---|
Article Number | 02004 | |
Number of page(s) | 14 | |
Section | Information Technologies for Environmental Sustainability | |
DOI | https://doi.org/10.1051/e3sconf/202022402004 | |
Published online | 23 December 2020 |
Prompt determination of the static stability margins in electrical energy systems equipped with distributed generation plants
1
Bratsk State University, 40, Makarenko st., Bratsk, Russia
2
Irkutsk State Transport University, 15, Chernyshevsky st., Irkutsk, Russia
3
Irkutsk National Research Technical University, 83, Lermontova st., Irkutsk, Russia
* Corresponding author: bulatovyura@yandex.ru
The wide use of distributed generation (DG) technologies in electrical energy systems (EES) requires development of new control algorithms in normal, emergency and postemergency modes. The issues of determining the static aperiodic stability (SAS) margin in EES equipped with DG plants are of particular relevance. These plants can be removed from the consumption centers, which can lead to SAS reserves depletion. The article presents the results of studies aimed at the developing SAS reserves express calculation methods in EES equipped with DG plants. An effective technique to determine stability margins was proposed based on one of the modifications of limiting modes equations. The results of determining SAS for an electrical network with distributed generation plants are presented. Additionally, the simulation of transient processes in the studied EES for various points in the space of the mode’s controlled parameters has been carried out in the Matlab system.
© The Authors, published by EDP Sciences, 2020
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.