IV_4K

The I-V curve data is provided by UL for MLEET (Module Level Exposure and Evaluation Test) project funded by DOE (Department of Energy). It was taken from some commercial brand full size PV (photovoltaic) module under dampheat + DML (Dynamic Mechanical Load) indoor accelerated test. Each I-V curve has about 3800 points.
This data set is a study of IV curve with 1 step. The first column is voltage(V) and the second column is current(I).

datasets

The Data Driven I-V Feature Extraction is used to extract
Current-Voltage (I-V) features from I-V curves. I-V curves indicate the
relationship between current and voltage for a solar cell or Photovoltaic (PV)
modules. The I-V features such as maximum power point (Pmp), shunt resistance (Rsh),
series resistance (Rs),short circuit current (Isc), open circuit voltage (Voc),
fill factor (FF), current at maximum power (Imp) and voltage at maximum power(Vmp)
contain important information of the performance for PV modules. The traditional
method uses the single diode model to model I-V curves and extract I-V features.
This package does not use the diode model, but uses data-driven a method which
select different linear parts of the I-V curves to extract I-V features.
This method also uses a sampling method to calculate uncertainties when extracting
I-V features. Also, because of the partially shaded array, "steps" occurs in
I-V curves. The "Segmented Regression" method is used to identify steps in I-V curves.
This material is based upon work supported by the U.S. Department of Energy<e2><80><99>s
Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy
Technologies Office (SETO) Agreement Number DE-EE0007140. Further information can be
found in the following paper.
[1] Ma, X. et al, 2019.
<doi:10.1109/JPHOTOV.2019.2928477>.

Megan M. Morbitzer

ddiv

Data Driven I-v Feature Extraction

Wei-Heng Huang

Xuan Ma

Jiqi Liu

Menghong Wang

Alan J. Curran

Justin S. Fada

Jean-Nicolas Jaubert

Jing Sun

Jennifer L. Braid

Jenny Brynjarsdottir

Roger H. French

IV_4K function

A data frame with 3637 rows and 2 variables:<dl class="dl-horizontal">
 <dt>V</dt><dd>increasing vector</dd>
 <dt>I</dt><dd>decreasing vector</dd>
</dl>

Format

Damp Heat Plus Dynamic Mechanical Load Indoor Accelerated Test I-V Curve. — IV_4K

A data frame with 3637 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>V</dt><dd>increasing vector</dd>
 <dt>I</dt><dd>decreasing vector</dd>
</dl>

Damp Heat Plus Dynamic Mechanical Load Indoor Accelerated Test I-V Curve.

IV_4K: Damp Heat Plus Dynamic Mechanical Load Indoor Accelerated Test I-V Curve.

Description

Usage

Arguments

Format