This paper presents a Digital Twin (DT)-enhanced energy management system for real-time operation of hybrid renewable microgrids. The proposed system builds a cloud-platform DT model to connect the physical components of the microgrid which includes solar photovoltaic (PV) systems and battery energy storage systems (BESS) diesel generators (DG) and dynamic electrical loads. The DT analyses microgrid real-time data in a continuous fashion to produce control methods that optimize both the system performance and enhance its efficiency and reduce costs. The energy management procedure commences through data acquisition when the DT tracks vital indicators that involve BESS state of charge (SoC) together with PV output and electricity rates and power consumption demand. Real-time measurements produce simulations which model the operating state of the microgrid to optimize the way energy flows through it. Inside the DT optimization algorithms determine how renewable energy sources and storage control and grid activities should be managed to deliver the lowest energy expenses combined with steady power availability. The DT implements a dynamic feedback control loop to relay its commands to the physical microgrid infrastructure by using OPC Unified Architecture (UA) protocols. The system executes three key actions to respond to rapidly changing conditions which include BESS operations for charging and discharging and the control of distributed generators and the adjustment of connected loads. This system showed its effectiveness through testing which proves its ability to both stabilize power grids and effectively merge renewable systems and maintain sustainable microgrids.