کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
301336 512503 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Accurate and fast convergence method for parameter estimation of PV generators based on three main points of the I–V curve
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Accurate and fast convergence method for parameter estimation of PV generators based on three main points of the I–V curve
چکیده انگلیسی

Currently there are different methods to estimate the parameters necessary to model a PV cell or generator. The simplest ones are based on reducing the number of parameters, disregarding some of them or assigning an initial value. These methods use simple equations, often obtained empirically, and very easy calculations. Usually, the results are simple approximations, for which reason they must be considered unreliable.On the contrary, methods that give good results are often characterized by their complexity. Generally they need a large amount of data, which in some cases require statistical processing, in addition to equations and laborious calculations.The purpose of this paper is to present a low complexity calculation procedure that allows estimating the ideality factor and the loss resistances of any PV cell or generator. The proposed method is based on the five-parameter model and as input data it only requires the open circuit voltage, the short circuit current and the maximum power point voltage and current. The results obtained with it allow simulating any PV module of crystalline silicon with great accuracy.


► Accurate methods for PV cells parameter estimation require large amount of data.
► A method based on the three main points of the I–V curve is presented.
► The used equations and the iterative process provide stability and fast convergence.
► The proposed method has been validated experimentally.
► Its results allow simulating crystalline silicon PV generators with great accuracy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 36, Issue 11, November 2011, Pages 2972–2977
نویسندگان
, , , ,