SMART ENERGY MANAGEMENT STRATEGY FOR OPTIMAL OPERATION OF HYBRID MICROGRIDS

Abstract

The growing penetration of renewable energy sources has increased the need for efficient energy management in hybrid microgrids. Hybrid microgrids typically integrate solar photovoltaic (PV), wind energy systems, battery storage, and conventional backup sources to ensure reliable power supply. However, the intermittent nature of renewable resources introduces operational challenges in maintaining voltage stability and load balancing. This study proposes the development of a Smart Energy Management System (SEMS) for hybrid microgrids to optimize energy scheduling, reduce operational costs, and enhance system reliability. The proposed system utilizes realtime monitoring, intelligent control algorithms, and demand-side management strategies. Optimization techniques are employed to coordinate distributed generation and storage units. Simulation-based evaluation demonstrates improved load sharing, reduced power losses, and enhanced renewable energy utilization. The SEMS ensures seamless transition between gridconnected and islanded modes. The results validate the effectiveness of intelligent control in hybrid microgrid applications. The proposed framework supports sustainable and resilient energy infrastructure development