Analysis Of Solar PV Array Under Abnormal Grid Anomalies Using Intelligent Control Strategies

Abstract

This paper investigates a grid-connected solar photovoltaic (PV) array system under linear and non-linear load conditions, focusing on advanced control techniques to enhance power quality. Initial evaluations under abnormal grid conditions reveal significant levels of Total Harmonic Distortion (THD) in grid voltage and current. To address this issue, the study explores the application of Artificial Neural Network (ANN) and Fuzzy Logic Controllers (FLC). In the first approach, an ANN controller is employed, resulting in a noticeable reduction in THD. In the second approach, a combination of an ANN controller and a Fuzzy Logic Controller achieves even greater improvements in harmonic performance. This work highlights the effectiveness of intelligent control strategies, such as ANN and Fuzzy Logic, in reducing harmonics in solar PV systems. The findings contribute to the advancement of reliable and power-efficient grid-connected solar PV systems.