A Dynamic Model of a Photovoltaic Generator Based on Experimental Data

Abstract

The aim of this paper is to propose an

improvement of a method for the identification of the

parameters of photovoltaic (PV) sources model. In a previously

published paper the authors developed a single diode model in

which characteristic parameters were estimated on the basis of

solar radiation by using a robust least squares linear regression

(LSR) parameter identification method. In this paper a more

accurate temperature estimation is obtained, which includes the

dependence on the wind speed. Moreover the dynamic

behaviour, both in terms of thermal and electric constants, is

considered.

After the description of the adopted methodology a practical

case of identification based on measured data is proposed.