Implementation of ann-based upqc to improve power quality of hybrid green energy system

Abstract

The rapid increase in the contribution of naturally replenished green energy sources to increase the generating capabilities of a modern power system poses a challenging task for engineers to maintain its power quality. The zest of the paper is to address the power quality issues that arose due to the presence of a wind energy system in a hybrid PEMFC and PMSG based wind energy system connected to a weak grid system. In this work, built a mathematical model of a hybrid renewable system consisting of a wind energy system with a permanent magnet synchronous generator, proton exchange membrane fuel cell system and estimated the carbon emission reductions. The work is further focuses on power quality issues aroused in a geographically weather-dependent wind variation impact. As these impacts limit the freedom of utilizing different power sources, it causes a variable voltage and output powers, especially in a weak grid system. To improve the power quality of hybrid weak grid systems modelled and simulated an ANN-based UPQC using MATLAB/Simulink. Simulation results are shown to verify the performance of the compensator to mitigate active power, reactive power fluctuations and voltage fluctuations due to the wind energy system and to mitigate symmetrical sags due to symmetrical loading conditions and swells due to unsymmetrical conditions.