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

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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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Availability of data and material (data transparency)

The data sets used and/or analysed during the current study are available from the corresponding author on reasonable request.

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The custom code used in the current study is available from the corresponding author on reasonable request.

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The authors declare that they have not availed any funding from any source for this research work.

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Authors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, 711103, India

    Rituparna Mukherjee & Abhinandan De

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  1. Rituparna Mukherjee
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  2. Abhinandan De
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All the authors participated and contributed equally in the analysis and interpretation of the results and data, drafting the article or revising it critically and preparing the final version.

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Correspondence to Rituparna Mukherjee.

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Appendix

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Fig. 5
figure 5

IEEE 118-bus power system with strategic PMU installations

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Mukherjee, R., De, A. Real-time dynamic security analysis of power systems using strategic PMU measurements and decision tree classification. Electr Eng 103, 813–824 (2021). https://doi.org/10.1007/s00202-020-01118-z

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