AUT Journal of Electrical Engineering

AUT Journal of Electrical Engineering

Integration of Active Boost Step up Converter with Optimized ANN in PV Based UPFC System for Improved Grid Stability

Document Type : Research Article

Authors
1 Department of Electrical and Electronics Engineering, Paavai Engineering College, Namakkal - 637018, India.
2 Department of Electrical and Electronics Engineering, Paavai Engineering College, Namakkal - 637 018, India.
10.22060/eej.2026.25662.5978
Abstract
The growing proportion of Renewable Energy Sources (RESs) poses significant challenges for modern grids, particularly in terms of power flow stability, voltage management, and power quality. Traditional UPFCs rely on grid-connected DC link limiting their ability to operate sustainably and adapt flexibly to changing system conditions. To overcome such issues this research proposes a Photovoltaic (PV)-powered UPFC system incorporated with a Coupled Inductor (CI) Active Boost Step Up Converter to provide a stable high-gain supply to DC link. An advanced control strategy is introduced to extract maximum power using Artificial Neural Network (ANN) based Sharp belly Fish Optimization Algorithm (SFO) under varying environmental conditions. The series converter is connected through a transformer operates as a dynamic voltage compensator and shunt converter combined with an LC filter performs DC voltage regulation. MATLAB/Simulink validation shows better performance in terms of reduced Total Harmonic Distortion (THD), faster transient response, and enhanced steady-state voltage control as compared to traditional UPFC techniques. The obtained efficiency is around 94% and tracking efficiency is 99.9% with reduced THD 0.75%.
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Articles in Press, Accepted Manuscript
Available Online from 01 August 2026