Detection and Management of Large Scale Power System Disturbances
Critical Information Infrastructures Security: 9th International Conference, CRITIS 2014: Revised Selected Papers. Lecture Notes in Computer Science. Vol.8985 2016
Antans Sauļus Sauhats, Vladimirs Čuvičins, Galina Bockarjova, Diāna Žalostība, Dmitrijs Antonovs, Romāns Petričenko

Recent blackouts of major power systems (PSs) clearly demonstrate the topicality of the blackout problem. Detailed analysis of blackouts allows to conclude that there is a long list of dangerous incidents that under unfavourable conditions lead to rapid shutdown of significant number of vital power system elements: power plants, power lines, transformers and consumers. Power supply of vast geographical regions can be broken. To prevent such situations special types of automation are employed. In particular, for prevention and elimination of generators asynchronous operation mode automatic devices controlling the angles between two simulated voltages can be applied. Dangerous mode of operation can be eliminated using the short-term splitting of power system, followed by automatic restoration to normal operating conditions. To restore normal operation under-frequency load shedding automation widely is used. The use of these types of automation transform severe emergency into a short transient process. To implement named automation GPS and fiber optic communication channels can be used. The main problems of devices realization, application and testing are discussed.


Atslēgas vārdi
Power systems, automation, load shedding, protection, blackout prevention, power system restoration
DOI
10.1007/978-3-319-31664-2_15
Hipersaite
https://link.springer.com/chapter/10.1007%2F978-3-319-31664-2_15

Sauhats, A., Čuvičins, V., Bockarjova, G., Žalostība, D., Antonovs, D., Petričenko, R. Detection and Management of Large Scale Power System Disturbances. No: Critical Information Infrastructures Security: 9th International Conference, CRITIS 2014: Revised Selected Papers. Lecture Notes in Computer Science. Vol.8985, Kipra, Limassol, 13.-15. oktobris, 2014. Cham: Springer International Publishing Switzerland, 2016, 147.-152.lpp. ISBN 978-3-319-31663-5. e-ISBN 978-3-319-31664-2. ISSN 0302-9743. e-ISSN 1611-3349. Pieejams: doi:10.1007/978-3-319-31664-2_15

Publikācijas valoda
English (en)
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