Design of a solar MPP tracker with improved fuzzy logic

Abstract

This article introduces a fresh control technique for monitoring the maximum power point of the standalone photovoltaic system at variable solar cell temperature and insolation. Here, the method uses a fuzzy logic controller which is used to track maximum radiation of solar at all time and both the azimuth and elevation angles of sun. A sampling process is used to measure the PV array power and voltage that decides an optimal increment of sample which is required to get the optimal operating voltage that permits maximum power tracking. This method provides high accuracy and reliable result around the optimum point. This proposed fuzzy logic based MPP tracker has shown a better performance compare to existing methods with a power conversion efficiency of ~95.7%. Different steps of designed controller and the set of fuzzy logic has been shown along with its simulation.