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Electrical Engineering
Published in: Electrical Engineering 2/2021

20-10-2020 | Original Paper

Real-time dynamic security analysis of power systems using strategic PMU measurements and decision tree classification

Authors: Rituparna Mukherjee, Abhinandan De

Published in: Electrical Engineering | Issue 2/2021

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Abstract

Fast and accurate online dynamic security analysis (DSA) is the key enabler for secure operation of modern power systems. Real-time assessment of the current power system operating state and increased awareness about plausible future insecurity can enable necessary operational and control measures to ensure secure operation. This paper proposes an ensemble decision tree (DT)-based online DSA method for large-scale interconnected power system networks using wide area measurement (WAMS) with phasor measurement units (PMU). A novel attribute selection method has been demonstrated for optimizing PMU installation at strategic buses in large-scale power networks. Multi-stage screening of the initial measurements has been done to minimize the data acquisition cost and computation overhead, which are the key challenges in real-time DSA. The ensemble DT classifier was trained offline using data from the operational model of the power system under different system loading and contingency conditions. The trained classifier provides online security assessment and classifies the power system’s current operating state as secure or insecure based on real-time measurements of the key attributes by selective PMUs. The proposed scheme was tested on IEEE 118-bus system, and the results demonstrate that it has the potential to be used as a reliable online DSA method.
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Appendix
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Metadata
Title
Real-time dynamic security analysis of power systems using strategic PMU measurements and decision tree classification
Authors
Rituparna Mukherjee
Abhinandan De
Publication date
20-10-2020
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 2/2021
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-020-01118-z

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