Improving reliability of state estimation programming and computing suite based on analyzing a fault tree
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.
Библиографическая ссылка Kolosok I., Korkina E., Tikhonov A. Improving reliability of state estimation programming and computing suite based on analyzing a fault tree // E3S Web of Conferences. Vol.25. ID: 02006. 2017. DOI: 10.1051/e3sconf/20172502006
Проиндексировано: WOS
SCOPUS
