Detecting Cyberattacks on Electrical Storage Systems through Neural Network Based Anomaly Detection Algorithm.

Journal: Sensors (Basel, Switzerland)
Published Date: May 23, 2022

Abstract

Distributed Energy Resources (DERs) are growing in importance Power Systems. Battery Electrical Storage Systems (BESS) represent fundamental tools in order to balance the unpredictable power production of some Renewable Energy Sources (RES). Nevertheless, BESS are usually remotely controlled by SCADA systems, so they are prone to cyberattacks. This paper analyzes the vulnerabilities of BESS and proposes an anomaly detection algorithm that, by observing the physical behavior of the system, aims to promptly detect dangerous working conditions by exploiting the capabilities of a particular neural network architecture called the autoencoder. The results show the performance of the proposed approach with respect to the traditional One Class Support Vector Machine algorithm.

Authors

  • Giovanni Battista Gaggero
    Department of Electrical, Electronic and Telecommunications Engineering and Naval Architecture-DITEN, University of Genoa, Via Opera Pia 11A, 16145 Genoa, Italy.
  • Roberto Caviglia
    Department of Electrical, Electronic and Telecommunications Engineering and Naval Architecture-DITEN, University of Genoa, Via Opera Pia 11A, 16145 Genoa, Italy.
  • Alessandro Armellin
    Department of Electrical, Electronic and Telecommunications Engineering and Naval Architecture-DITEN, University of Genoa, Via Opera Pia 11A, 16145 Genoa, Italy.
  • Mansueto Rossi
    Department of Electrical, Electronic and Telecommunications Engineering and Naval Architecture-DITEN, University of Genoa, Via Opera Pia 11A, 16145 Genoa, Italy.
  • Paola Girdinio
    Department of Electrical, Electronic and Telecommunications Engineering and Naval Architecture-DITEN, University of Genoa, Via Opera Pia 11A, 16145 Genoa, Italy.
  • Mario Marchese
    Department of Health Medicine and Science "Vincenzo Tiberio", University of Molise, Campobasso, Italy.

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