ESTIMATION OF PV MODULE PARAMETERS USING GENERALIZED HOPFIELD NEURAL NETWORK

Abstract
The estimation of solar photovoltaic (PV) system with help of electrical model parameters, suchas photon generated current, the diode saturation current, series resistance, shunt resistance, anddiode ideality factor, are desirable to predict the real performance characteristics of solar PVunder varying environmental conditions. Finally, performance indices, such as PV characteristicscurve are estimated for the various solar PV panels using GHNN optimization technique.