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

Citation

Negnevitsky, M and Tomin, K and Kurbatsky, V and Panasetsky, D and Zhukov, A and Rehtanz, C, A random forest-based approach for voltage security monitoring in a power system, Proceedings of the IEEE Eindhoven PowerTech, PowerTech 2015, 29 June - 02 July, Eindhoven, Netherlands, pp. 1-6. ISBN 9781479976935 (2015) [Refereed Conference Paper]


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Official URL: http://powertech2015-eindhoven.tue.nl/

DOI: doi:10.1109/PTC.2015.7232460

Abstract

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.

Item Details

Item Type:Refereed Conference Paper
Keywords:blackout, voltage instability, security monitoring, machine learning, random forest
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Power and Energy Systems Engineering (excl. Renewable Power)
Objective Division:Energy
Objective Group:Energy Storage, Distribution and Supply
Objective Field:Energy Services and Utilities
Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:105784
Year Published:2015
Deposited By:Engineering
Deposited On:2016-01-14
Last Modified:2017-11-06
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