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

Version 2 2025-01-15, 01:16
Version 1 2023-05-23, 10:43
conference contribution
posted on 2025-01-15, 01:16 authored by Michael NegnevitskyMichael Negnevitsky, K Tomin, V Kurbatsky, D Panasetsky, A Zhukov, C Rehtanz
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.

History

Publication title

Proceedings of the IEEE Eindhoven PowerTech, PowerTech 2015

Volume

9

Pagination

1-6

ISBN

9781479976935

Department/School

Engineering

Publisher

IEEE-Inst Electrical Electronics Engineers Inc

Publication status

  • Published

Place of publication

IEEE Digital Library

Event title

IEEE Eindhoven PowerTech, PowerTech 2015

Event Venue

Eindhoven, Netherlands

Date of Event (Start Date)

2015-06-29

Date of Event (End Date)

2015-07-02

Rights statement

Copyright unknown

Socio-economic Objectives

170303 Energy services and utilities