AI-based hybrid power quality control system for electrical railway using single phase PV-UPQC with Lyapunov optimization

AI-based hybrid power quality control system for electrical railway using single phase PV-UPQC with Lyapunov optimization

Abstract This research paper presents an advanced AI-driven hybrid power quality management system for electrical railways that addresses critical challenges in 25 kV AC traction networks through a novel integration of single-phase PV-UPQC with ANN-Lyapunov control architecture. The system effective...

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Bibliographic Details
Main Authors: D. K. Nishad, A. N. Tiwari, Saifullah Khalid, Sandeep Gupta, Anand Shukla
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Power Quality
Artificial neural networks
Lyapunov Control
Photovoltaic integration
Unified Power Quality Conditioner
Online Access:https://doi.org/10.1038/s41598-025-85393-5
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https://doi.org/10.1038/s41598-025-85393-5

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