| Issue |
E3S Web Conf.
Volume 25, 2017
Methodological Problems in Reliability Study of Large Energy Systems (RSES 2017)
|
|
|---|---|---|
| Article Number | 02006 | |
| Number of page(s) | 6 | |
| Section | Intelligent energy systems - new challenges in terms of reliability of energy supply | |
| DOI | https://doi.org/10.1051/e3sconf/20172502006 | |
| Published online | 01 December 2017 | |
Improving reliability of state estimation programming and computing suite based on analyzing a fault tree
1
Melentiev Energy Systems Institute, 130 Lermontov str., Irkutsk, Russia
2
Joint Stock Company “Irkutsk Electronetwork company”
* Corresponding author: kolosok@isem.irk.ru
Reliable information on the current state parameters obtained as a result of processing the measurements from systems of the SCADA and WAMS data acquisition and processing through methods of state estimation (SE) is a condition that enables to successfully manage an energy power system (EPS). SCADA and WAMS systems themselves, as any technical systems, are subject to failures and faults that lead to distortion and loss of information. The SE procedure enables to find erroneous measurements, therefore, it is a barrier for the distorted information to penetrate into control problems. At the same time, the programming and computing suite (PCS) implementing the SE functions may itself provide a wrong decision due to imperfection of the software algorithms and errors. In this study, we propose to use a fault tree to analyze consequences of failures and faults in SCADA and WAMS and in the very SE procedure. Based on the analysis of the obtained measurement information and on the SE results, we determine the state estimation PCS fault tolerance level featuring its reliability.
© The Authors, published by EDP Sciences, 2017
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. (http://creativecommons.org/licenses/by/4.0/).
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