SSNN-Based Energy Management Strategy in Grid Connected System for Load Scheduling and Load Sharing

The proposed research work focused on energy management strategy (EMS) in a grid connected system working islanding mode with the renewable resources and battery storage system. developed provides balancing operation at its output by utilizing perfect load sharing strategy. EMS technique using smart superficial neural network (SSNN) is simulated, numerical analyses are presented to validate effectiveness of centralized islanded A SSNN prediction model unified forecast associated household demand, PV generation under various time horizons (including disaster condition), EV availability, status section distance. one most reliable forecasting methods many applications. also accounted for degradation cost. incorporation reduces amount drawn from when compared other optimized systems.