Power Management and Control of Hybrid DG and Storage in Matlab

Abstract:

The significant role in the DC micro grid is renewable sources like hydrogen energy, Photovoltaic (PV), and wind systems. However, the difficult task in the DC micro grid is to balance the power generation and load demand due to the continuous changes in sustainable sources. In this study, focused on the power control and stabilize the power at different dynamic conditions with power management approaches. In this work, fuel cell (FC), lithium-ion based batteries and super capacitors (SC) are proposed with PV based DC micro grid system for improving the system performance. Furthermore, adaptive neuro-fuzzy inference system (ANFIS) is suggested in this system for mitigating the deviations in PV plant due to variations in temperature. The suggested system has been designed on the MATLAB environment. The simulation results reveal that the suggested approaches give better improvement in various operating conditions with ANFIS approach.