An Artificial Fuzzy Logic Intelligent Controller Based MPPT for PV Grid Utility

An intelligent Fuzzy Logic Control (FLC) based trackers are employed for optimum power generation from photovoltaic (PV) module. Proposed model evaluates its performance will result in obtaining a more accurate response from the system. The characteristics of photovoltaic systems are inherently nonlinear and are functions of environmental parameters such as light, ambient temperature and its attaching charge. Therefore, we can receive the maximum power from PV array by choosing appropriate work point of PV when the amount of light and temperature are constant. With changes in environmental conditions (light and temperature) the work point of array will be changed and consequently by using different algorithms of maximum power point tracking (MPPT) it can be always kept the received power amount from array at its maximum value, in other words, maximum power point can be tracked. The advantage of fuzzy controllers is in working with imprecise and nonlinear inputs, no need to accurate mathematical model and fast convergence and the lowest fluctuations in MPPT.