Power Quality Improvement by Utilizing Efficient Controllers for Unified Power Quality Conditioner in Grid Connected Renewable Energy Systems

Abstract

A common problem faced by the consumers is power quality. A unified power quality conditioner (UPQC) using an artificial Neuro fuzzy inference system (ANFIS) controller for enhancement of power quality in a grid connected to the renewable energy system is presented in this paper. Two renewable energy sources like wind and fuel cells along with a non-linear load were considered to be integrated into an electric grid. This article presents an UPQC using ANFIS controller improvement in power quality against a conventional (PI) controller. Simulation studies were carried out to analyze the effect of the power quality events at the point of common coupling (PCC) in the grid connected renewable energy systems.