Design and Implementation of an Intelligent Grid Interfaced Solar Water Pumping System for Sustainable Agriculture

Abstract

 This research paper presents developing and implementing an Intelligent Grid Interfaced Solar Water Pumping System for Sustainable Agriculture, incorporating an Adaptive Neuro-Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) algorithm. The primary objective is to enhance agricultural practices' energy efficiency and sustainability by efficiently harnessing solar energy for water-pumping applications. The ANFIS current-voltage controlled MPPT algorithm demonstrates remarkable adaptability and accuracy in tracking the solar photovoltaic array's maximum power point, optimizing energy extraction. Integration with the power grid allows surplus solar energy injection, reducing dependency on conventional energy sources and promoting eco-friendly agricultural practices. Successful implementation highlights its potential as a viable and sustainable solution to address farmers' energy and water scarcity challenges, contributing to rural development and environmental conservation.