Title :
A simple and accurate model of photovoltaic modules for power system design
Author :
Boscaino, V. ; Cipriani, G. ; Di Dio, V. ; Miceli, R. ; Capponi, G.
Author_Institution :
Dept. of Energy, Inf. Eng. & Math. models (DEIM), Univ. of Palermo, Palermo, Italy
Abstract :
In this paper, a modeling technique for PV panels oriented to power electronics design is proposed. Existing models usually aim at accurately matching only a few remarkable points of the solar panel characteristics. Yet, power electronics designers aim at simulating the entire panel characteristics as accurately as possible to test the efficiency of sophisticated control algorithms. Furthermore, existing parameters identification procedures are usually based on manufacturers´ data and related to the knowledge of physical parameters of the solar cell under test. Manufacturers´ data are usually incomplete and physical parameters are not readily available to power electronics designers. A five lumped parameter model is applied to a Sanyo HIT-240HDE4 solar module. Five parameters are derived from manufacturers´ data. A four lumped parameter model whose parameters are derived by a novel fitting procedure is then applied to the same solar module. Simulation results of both models and manufacturers´ curves are compared to test the accuracy of proposed identification procedure.
Keywords :
curve fitting; network analysis; parameter estimation; power electronics; power system planning; solar cells; PV panels; Sanyo HIT-240HDE4 solar module; control algorithms; fitting procedure; manufacturer data; modeling technique; parameter identification procedures; parameter model; photovoltaic modules; physical parameters; power electronics designers; power system design; solar cell; solar panel characteristics; Educational institutions; Lead; Phase locked loops; modeling and simulation; photovoltaic array; renewable energy sources; solar energy;
Conference_Titel :
Ecological Vehicles and Renewable Energies (EVER), 2014 Ninth International Conference on
Conference_Location :
Monte-Carlo
Print_ISBN :
978-1-4799-3786-8
DOI :
10.1109/EVER.2014.6844088