Hybrid fuzzy MPP tracking system for single and multivariable environment

Abstract

The global increase in demand and consumption of energy has led to energy crisis. Solar Photovoltaic systems (SPVS) have emerged as the most appropriate solution for electricity generation in rapidly developing market of Renewable Energy Technology. The efficiency of SPVS is improved by Maximum Power Pont tracking. In the present work, an effort has been made to develop an efficient PV MPPT system using hybrid fuzzy technique to extract maximum power under multivariable environment (changing temperature and irradiance). This system optimizes the MPPT working performance when compared with previously used single variable approach. The developed model is validated with commercially available Solarex MSX-60W panel in MATLAB-Simulink. The voltage stabilization is achieved for buck converter and is monitored precisely using hybrid fuzzy controller (PD+I FLC). The system response can be improved under varying temperature and irradiance conditions by tuning the scaling gains (GU, GE, GCE and GIE). The tuning of gains helps to achieve improved performance under varying temperature and irradiance conditions. In the present work a comparison is done between the single variable model and multivariable model and it was found that by doing proper tuning the converter output voltage can be achieved closer to desired set point for the developed model.