
METHODS OF SEARCHING FOR ANOMALIES IN THE DATA PROVIDED BY MODE PARAMETERS MEASUREMENTS OF THE ELECTRIC NETWORK
Author(s) -
O. Yandulskiy,
O. Bukhanenko
Publication year - 2021
Publication title -
energetika. ekonomìka, tehnologìï, ekologìâ
Language(s) - English
Resource type - Journals
eISSN - 2308-7382
pISSN - 1813-5420
DOI - 10.20535/1813-5420.1.2021.242169
Subject(s) - mode (computer interface) , context (archaeology) , computer science , data mining , electric power system , electric power , power (physics) , physics , geology , paleontology , quantum mechanics , operating system
The materials of the article are an overview of the problems of development of electric power systems in the context of data collection and processing of mode parameters and analytical review of methods of search and detection of anomalies in data of synchronized vector measurements of mode parameters of electric network. The classification of anomalies, problems that arise during their search, classification of methods of search and detection of anomalies, as well as modern methods of finding anomalies in the data of synchronized vector measurements of power systems are considered.