Enhancing Renewable Energy Capture with Fuzzy Logic MPPT Control in PV and Wind Power Systems

Abstract

There are many natural resources available in the nature to produce power like solar, wind, bio-gas and hydel etc. By producing power through these resources, we can decrease the burden to the other power generation units. In this project we are using the application based on the hybrid power systems like (SWHPS). It includes solar radiations, solar panels, turbine, permanent magnet synchronous generator (PMSG), controller, converter and finally inverter. In this photovoltaic method the algorithm used is (P&O) for both power systems as a control logic for increasing the power generated using the method called maximum power point tracking system (MPPT). In this project we will show the total survey of power controller is done by P&O algorithm for both hybrid power systems, the MPPT controller is executed through Fuzzy Logic Controller (FLC) by both renewable sources in hybrid power systems. MPPT controlled boost converter is common for both power generation units. The voltage and current are the common inputs for the hybrid power systems but the wind generation unit has the extra input known as speed related to the PMSG device. The SWHPS with the Fuzzy Logic Control based MPPT exhibits for having a greater and quick run when related with the other controllers. In this the presentation of the various implementations (solar, wind) of MPPT controller are explored through this project are shown in Matrix laboratory application through simulation. Simulated outputs are in the load voltage, load current and load power of SWHPS.