MPPT Using Soft Computing Technique with MLI in Photovoltaic System

Abstract

As energy demand is increasing rapidly, our deployment must be tending towards Renewable Energy Sources (RES), in order to meet the demand. Photovoltaic (PV) is one of the most focused RES due to plenty than other sources. Before serving to the load, the generated power by solar array is treated electronically and this process is called 'power conditioning'. In power conditioning, two major functions are frequently discussed i.e. DC-AC conversion and maximum power point tracking (MPPT). In order to supply the maximum power to the load, it is desired to operate the solar array at its maximum power point (MPP). Maximum Power Point Tracker automatically and electronically matches the load with the array. There are various techniques to determine the maximum power point. In this paper, one soft computing technique is discussed for this purpose i.e. Fuzzy Logic. With the fuzzy logic based control technique, the duty cycle of the boost converter is controlled in order to obtain the maximum power from PV array. Fuzzy logic controller (FLC) based MPPT system is implemented to the grid through multilevel inverter (MLI).