ANFIS-BASED CONTROL STRATEGY FOR UPQC IN RENEWABLE ENERGY DISTRIBUTED GENERATION SYSTEMS

Abstract

This research investigates the enhancement of power quality in renewable energy-based Distributed
Generation (DG) systems by implementing a Unified Power Quality Conditioner (UPQC) regulated by an
Adaptive Neuro-Fuzzy Inference System (ANFIS) controller. The proposed system is designed to improve
voltage stability and overall power quality within distribution networks, especially those incorporating
renewable energy sources. The performance of the ANFIS-tuned UPQC is compared against traditional systems
without this configuration and other existing control strategies. Both simulation and experimental results reveal
that the ANFIS-tuned UPQC significantly outperforms alternative methods, particularly in maintaining stability
during grid faults and load disturbances. This research highlights the potential of the proposed system as a
robust solution for integrating renewable energy into the power grid.