Enhancing Power Quality in Integrated PV Systems and DFIG Systems through MPPT and Fuzzy logic controller for Grid Systems

Abstract

This article investigates incorporating solar energy into a grid connected system or process— Photo-Voltaic (PV) and Double Fed Induction Generator ( DFIG) systems aimed at improving energy efficiency. Because of its lower efficiency, successfully using the power from solar PV connected to the utility grid is a challenging operation. The hybrid system operation is optimized using a Fuzzy Logic Controller (FLC), which effectively manages the variability and intermittency of renewable sources. The FLC dynamically adjusts parameters to ensure seamless grid integration and power quality enhancements. The study compares the FLC's performance with the Incremental Conductance method, evaluating their ability to manage the hybrid system's components under diverse environmental conditions. Key focus areas include voltage regulation, frequency stability, and harmonic distortion mitigation. A power point tracking controller's primary function is to increase or maximize solar systems' power generation. This proposed method includes a presentation of a fuzzy controller with Maximum power point tracking (MPPT) for a 10 kW-PV grid connected systems, highlighting its advantages over the Incremental Conductance method (Inc- Con). The output results are verified and validated with MATLAB Simulink platform.