Implementation of MPPT technique for solar PV system using ANN

This paper presents the use of two different methods of implementing Perturb and observe (P&O) algorithm for Maximum power point tracking (MPPT) of a Solar photovoltaic system (PV). One method includes the use of MATLAB FUNCTION BLOCK and other is by ANN (Artificial neural network). The system used comprises of a PV panel, MPPT algorithm and boost converter. The two control methods are used to provide the duty cycle to DC/DC boost converter. The simulation modelling is done in MATLAB and the corresponding results of two methods are presented. The fluctuations in output Voltage and Current of PV panel are minimized using Artificial neural network technique.