| Issue |
E3S Web Conf.
Volume 209, 2020
ENERGY-21 – Sustainable Development & Smart Management
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 5 | |
| Section | Session 1. Towards Intelligent Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202020902009 | |
| Published online | 23 November 2020 | |
On the use of dynamic state estimation for the optimal control of power system
1 Melentiev Energy Systems Institute of SB RAS, Irkutsk, Russia
2 RUSAL Engineering and Technological Center, LTD, Irkutsk, Russia
* Corresponding author: domyshev@isem.irk.ru
Investigations of the application of classical methods of dynamic state estimation on the data of a real power system for the purposes of optimal control have been carried out. A modern feature of state estimation for a large power system is that data from the SCADA system are fed to the calculation subsystem with a fairly small frequency. It is shown that the use of classical methods of dynamic state estimation for such problems is limited. The study was carried out using the ergodic theory of a dynamical 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.