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Publikācija: Detection and Management of Large Scale Disturbances in Power System

Publication Type Article in a collection of scientific publications or a chapter in a monograph indexed in SCOPUS or WOS database
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Detection and Management of Large Scale Disturbances in Power System
Title Critical Information Infrastructures Security. Lecture Notes in Computer Science: Vol.8985
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Antans Sauļus Sauhats
Vladimirs Čuvičins
Gaļina Bočkarjova
Diāna Žalostība
Dmitrijs Antonovs
Romāns Petričenko
Keywords Power systems – Automation – Load shedding – Protection – Blackout prevention – Power system restoration
Abstract Recent blackouts of major power systems (PSs) clearly demonstrate the topicality of the blackout problem when rapid multiple tripping of vital PS elements leads not only to PS collapse but also essentially affects the operation of other critical infrastructures. To prevent such situations special types of automation such as PS splitting and frequency control automation are employed. Taking into account the drawbacks of existing devices the new methods and technical solutions to increase sustainability to such events are discussed.
DOI: 10.1007/978-3-319-31664-2_15
Hyperlink: http://link.springer.com/chapter/10.1007/978-3-319-31664-2_15 
Reference Sauhats, A., Čuvičins, V., Bočkarjova, G., Žalostība, D., Antonovs, D., Petričenko, R. Detection and Management of Large Scale Disturbances in Power System. In: Critical Information Infrastructures Security. Lecture Notes in Computer Science: Vol.8985. C.Panayiotou, G.Ellinas, E.Kyriakides, M.Polycarpou ed. Cham: Springer International Publishing, 2016. pp.147-152. ISBN 978-3-319-31663-5. e-ISBN 978-3-319-31664-2. ISSN 0302-9743. Available from: doi:10.1007/978-3-319-31664-2_15
Additional information Citation count:
ID 22758