Power Management and Control of Hybrid DG and Storage Units with Grid Integration using ANFISPower

Abstract
The significant role in the DC microgrid is renewable sources like hydrogen energy,
Photovoltaic (PV), and wind systems. However, the difficult task in the DC microgrid 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 supercapacitors (SC) are proposed with PV based DC
microgrid 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
theMATLAB/Simulink environment. The simulation results reveal that the suggested
approaches give better improvement in various operating conditions with ANFIS approach.