A Comprehensive Study On Renewable Sources-Based Hybrid Microgrid Systems

Abstract

This paper presents an in-depth investigation into the design, optimization, and performance evaluation of renewable sources-based hybrid microgrid systems. The growing imperative for sustainable energy solutions has spurred interest in microgrids that seamlessly integrate multiple renewable sources to enhance reliability, efficiency, and environmental impact.Our research focuses on the integration of solar photovoltaic (PV) panels, wind turbines, and energy storage systems within a hybrid microgrid framework. A sophisticated optimization strategy is proposed to dynamically balance the intermittent nature of renewable sources with varying energy demand, ensuring efficient utilization of resources. Advanced control algorithms, incorporating machine learning and predictive analytics, enable adaptive decision-making for optimal microgrid operation.The research findings underscore the significance of renewable sources-based hybrid microgrid systems as resilient and sustainable solutions for decentralized power generation.