Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM

Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM

<p dir="ltr">The increasing reliance on smart grids, coupled with the integration of renewable energy and growing cyber-physical interactions, has heightened the vulnerability of power systems to both power quality (PQ) disturbances and cyber-attacks. This paper presents an innovativ...

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Bibliographic Details
Main Author: Sayanti Chatterjee (1311438) (author)
Other Authors: Pampa Sinha (19864778) (author), Ranjith Kumar Gatla (22467163) (author), Devineni Gireesh Kumar (22467166) (author), D. S. Naga Malleswara Rao (22467169) (author), Kaushik Paul (19864781) (author), Taha Selim Ustun (16869915) (author), Ahmet Onen (20838293) (author)
Published: 2025
Subjects:
Engineering
Electrical engineering
Information and computing sciences
Artificial intelligence
Cybersecurity and privacy
Power quality (PQ)
Nonsubsampled contourlet transform (NSCT)
Morphological component analysis (MCA)
Split augmented Lagrangian shrinkage approach (SALSA)
Frequency-adaptive detection index (FADI)
Cyber-physical security
False data injection (FDI)
Denial of service (DoS)
Multi-class support vector machine (SVM)
Smart grids
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