Energy Management in Hybrid Microgrid using Artificial Neural Network, PID, and Fuzzy Logic Controllers

Microgrids are described as linking many power sources (renewable energy and traditional sources) to meet the load consumption in real-time. Because renewable intermittent, battery storage systems required, typically used a backup system. Indeed, an management strategy (EMS) is required govern flows across entire Microgrid. In recent research, various methods have been proposed for controlling micro-grids, especially voltage frequency control. This study introduces microgrid system, overview of local control Microgrid, efficient EMS effective operations using three smart controllers optimal stability. We design which made up solar generators wind sources, Li-ion electrical grids, AC/DC loads, taking into account all functional needs addition, managed through performance charging discharging efficiency controller. The system based on optimum supply loads available State Charge (SOC). simulation results Matlab Simulink show techniques (PID, ANN, FL)