Identification of pre-emergency states in the electric power system on the basis of machine learning technologies

Статья конференции

Kurbatsky V., Tomin N.

12th World Congress on Intelligent Control and Automation

Proceedings of the World Congress on Intelligent Control and Automation (WCICA). P.378-383.

DOI: 10.1109/WCICA.2016.7578291

ISBN: 9 781 467

2016

The paper proposes a concept of an intelligent system for early detection of pre-emergency state in electric power system as an option of preventive operation and emergency control. The main goal of such a system is to early warn and prevent dangerous states and emergency situations before they lead to a system blackout. Consideration is given to a construction principle of systems for security monitoring and assessment on the basis of machine learning algorithms. The feasibility of the approach in a proof-of-concept has been demonstrated on the modified 53-node reliability test system (IEEE RTS-96) and IEEE 118 power system. © 2016 IEEE.

Библиографическая ссылка

Kurbatsky V., Tomin N. Identification of pre-emergency states in the electric power system on the basis of machine learning technologies // Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2016. P.378-383. ISBN (print): 9 781 467 . DOI: 10.1109/WCICA.2016.7578291

artificial intelligence