IV_daystar

This dataset comes from SDLE SunFarm, which provides extensive outdoor exposure capabilities, including mini-modules and full size modules mounted on both dual axis trackers fixed racks. Modules are individually controlled and operated by Daystar multi-tracer system at their peak power during daylight hours. Data acquired include time-series I-V curve data taken every 10 minutes, and time series power, voltage, current and weather data collected every minute.
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_daystar function

A data frame with 48 rows and 2 variables:<dl class="dl-horizontal">
 <dt>V</dt><dd>increasing vector</dd>
 <dt>I</dt><dd>decreasing vector</dd>
</dl>

Format

Outdoor Time Series I-V Curve Data from SDLE SunFarm. — IV_daystar

A data frame with 48 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>V</dt><dd>increasing vector</dd>
 <dt>I</dt><dd>decreasing vector</dd>
</dl>

Outdoor Time Series I-V Curve Data from SDLE SunFarm.

IV_daystar: Outdoor Time Series I-V Curve Data from SDLE SunFarm.

Description

Usage

Arguments

Format