- By:
- Donge, Vrushabh Suresh S; Pereira Pinto, Joao Onofre ; Adib, Aswad ; Krishna Moorthy, Radha Sree ; Chinthavali, Madhu Sudhan
- Page Number:
- 1-6
- Book Title:
- 2025 IEEE Energy Conversion Conference Congress and Exposition (ECCE)
- Publication Date:
- March 12, 2026
- Conference Name:
- 2025 IEEE Energy Conversion Conference Congress and Exposition (ECCE 2025)
- Conference Location:
- Philadelphia, Pennsylvania, United States of America
- Conference Sponsor:
- IEEE
- View DOI Listing:
- https://doi.org/10.1109/ECCE58356.2025.11259959
Abstract
This article proposes data-driven control via a nonlinear autoregressive model with exogenous inputs (NARX) for real-time voltage regulation of a modified feeder using reactive power sources. Traditional voltage control strategies rely on rule-based heuristics or optimization techniques, which often require detailed system models and extensive computational resources. The NARX-based controller learns system dynamics from historical data and predicts optimal reactive power dispatch in real-time for voltage correction. The proposed approach is evaluated on a power system feeder model under varying load and network conditions. Simulation results demonstrate that the NARX-based controller achieves improved voltage regulation, offering higher adaptability to system fluctuations. This study highlights the potential of data-driven control for enhancing the reliability of power distribution networks.
