Wind-PV hybrid system modeling using bidirectional converter with MPPT-dual adaptive neuro fuzzy inference system (ANFIS) in microgrid isolated system

Photovoltaic (PV) and Wind Turbines (WT) are renewable energy sources that are very rapidly growing. A variety of operating systems and controls to maximize the output power of both renewable energy sources have become a problem that more and more research are performed today. Renewable energy sources are the right solution to overcome the problem of depleted fossil energy. However, when renewable energy sources have generated power to the limit and no longer been able to meet the load demand, energy storage will be required as a backup. This study discusses a microgrid distribution system to maximize the power output from PV and WT that are connected in parallel with the energy storage. Energy storage is used to store excess power generated by PV and WT and as a backup. In this study ANFIS method is used to maximize power generated by PV and WT with a maximum efficiency of 99.95% for PV and 99% for WT.