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Classification of Faults in Power Systems Using Prediction Algorithms

  • C. SubramaniEmail author
  • M. Vishnu Vardhan
  • J. Gowtham
  • S. Ishwaar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1040)

Abstract

Power transformers are devices used in the transmission networks to step up and step down a voltage value. It primarily operates during large loads and has the highest efficiency at full load and near it. Power transformers generally have higher power ratings (>200 MVA) and are present near the generation sites. The power transformer becomes an integral part of the system and has an immediate and direct impact on the stability and reliability of the network. Hence, in order to ensure that the system remains stable, the protection of the power transformer becomes a task of utmost importance. In this paper, we describe a method to optimize the fault detection by differentiating between actual faults and other conditions that mimic a fault with the help of classification algorithms such as artificial neural networks (ANNs) and decision trees.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • C. Subramani
    • 1
    Email author
  • M. Vishnu Vardhan
    • 1
  • J. Gowtham
    • 1
  • S. Ishwaar
    • 1
  1. 1.Department of Electrical and Electronics EngineeringSRM Institute of Science and TechnologyKattankulathurIndia

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