Optimized Power Quality in Grid Systems Using PV-Based UPFC and Advanced ANN Control Approach

Authors

  • Gadupudi Lakshminarayana Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Telangana 500090, India
  • Sreedevi Saravanakumar Department of Electrical and Electronics Engineering, Sriram Engineering College, Tamil Nadu 602024, India
  • Malapati Venkateswarlu Department of Electrical and Electronics Engineering, Dr Samuel George Institute of Engineering and Technology, Andhra Pradesh 523316, India
  • Thankaraj Retna Bai Premila Department of Electrical and Electronics Engineering, Vels Institute of Science, Technology & Advanced Studies, Tamil Nadu 600117, India

DOI:

https://doi.org/10.69650/rast.2026.261699

Keywords:

Power Quality (PQ) , UPFC , ANN Controller , Single Switch Boost-Cuk , Pelican Optimized RNN

Abstract

Nowadays, grid power losses and Power Quality (PQ) issues are inducing various problems in power systems, which need to be addressed and rectified for attaining enhanced and smooth functioning. These PQ issues are generated as a result of differing values between generated and load power, which further produces fluctuations within the power supply. Hence, to overcome these limitations, an innovative control approach is proposed for attaining optimum power flow by using a Unified Power Flow Controller (UPFC). The proposed UPFC is combined with an Artificial Neural Network (ANN) controller for improving the performance efficiency of the UPFC. The ANN controller-aided UPFC rectifies the PQ issues, including sag and swell. Additionally, to provide a consistent and unlimited power supply to the DC link, a photovoltaic (PV) system is incorporated with a single-switch boost-Cuk (SSBC) converter for boosting the PV power generation process. For attaining maximum power extraction and tracking maximum power, a new Pelican Optimized Recurrent Neural Network (RNN)-based Maximum Power Point Tracking (MPPT) technique is utilized. Furthermore, to validate the proposed model, MATLAB/Simulink is utilized and the obtained results depict improved PQ with reduced losses. Therefore, the overall system attains improved power quality, thereby, enhancing the power system functioning.

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Published

24 December 2025

How to Cite

Lakshminarayana, G. ., Saravanakumar, S. ., Venkateswarlu, M. ., & Retna Bai Premila, T. . (2025). Optimized Power Quality in Grid Systems Using PV-Based UPFC and Advanced ANN Control Approach. Journal of Renewable Energy and Smart Grid Technology, 21(1), 23–35. https://doi.org/10.69650/rast.2026.261699

Issue

Vol. 21 No. 1 (2026): January-June (Ongoing Issue)

Section

Research articles

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