A random forest-based approach for voltage security monitoring in a power system

Статья конференции

Negnevitsky M., Tomin N., Kurbatsky V., Panasetsky D., Zhukov A., Rehtanz C.

IEEE Eindhoven PowerTech, PowerTech 2015

2015 IEEE Eindhoven PowerTech, PowerTech 2015. 1 p.

DOI: 10.1109/PTC.2015.7232460

ISBN: 9781479976

2015

Voltage collapse is a critical problem that impacts power system operational security. Timely and accurate assessment of voltage security is necessary to detect alarm states in order to prevent a large-scale blackout. This paper presents an on-line voltage security assessment scheme using periodically updated random forest-based decision trees. We demonstrated the proposed method on the modified 53-bus IEEE power system. Results are presented and discussed. © 2015 IEEE.

Библиографическая ссылка

Negnevitsky M., Tomin N., Kurbatsky V., Panasetsky D., Zhukov A., Rehtanz C. A random forest-based approach for voltage security monitoring in a power system // 2015 IEEE Eindhoven PowerTech, PowerTech 2015. 1 p. ISBN (print): 9781479976. DOI: 10.1109/PTC.2015.7232460

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artificial intelligence