Empowering Agriculture: Microgrid Optimization with Dynamic Evolutionary Swarm Algorithm for Sustainable Smart Farm in Coastal Morocco

Abstract

This research presents a rigorous and intelligent techno-economic analysis of smart farm systems in the context of Morocco, employing a sophisticated hybrid metaheuristic framework. The primary objective is the meticulous evaluation of a hybrid microgrid system, intricately optimizing its dimensions and financial outlay to efficaciously energize a smart farm situated in the region. The comprehensive scope of this study encompasses the inception, optimization, and scrutiny of the smart farm system through the utilization of MATLAB, a versatile computational tool. Introducing an avant-garde metaheuristic optimization paradigm known as the Hybrid Metaheuristic, the study endeavors to discern the optimum system configuration, with a particular emphasis on ensuring unwavering electricity provision while factoring in the nuances of the levelized electricity cost (LEC). The proposed methodology establishes its mettle through empirical evidence, showcasing precision and reliability in simulation results, thereby substantiating its potential as a stalwart approach for the development of sustainable and economically sound smart farm solutions.