PV Inverter Experimental Dataset Version 2 with 100 Percent Power
Abstract
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and controllable DC supply to emulate AC and DC side characteristics. The experiments were performed at NREL's Energy Systems Integration Facility. The PV inverter is tested under 100%, 75%, 50%, 25% load conditions. In the first dataset, for each operating condition, controllable AC source voltage is varied from 0.88 to 1.09 per unit (p.u) with a step value of 0.025 p.u while keeping the frequency at 60 Hz. In the second dataset, under similar load conditions (100%, 75%, 50%, 25% ), the frequency of the controllable AC source voltage was varied from 59.4 Hz to 60.45 Hz with a step value of 0.2 Hz. Voltage and frequency range is chosen based on inverter protection. Voltages and currents on DC and AC side are included in the dataset.
- Authors:
-
- National Renewable Energy Laboratory; National Renewable Energy Laboratory
- National Renewable Energy Laboratory
- Publication Date:
- Other Number(s):
- CPS agreement number - 38455
- Research Org.:
- National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Subject:
- 14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; PV inverter; artificial intelligence; data analysis; data visualizations; database for artificial intelligence training; database for inverter characterization; database for model validation; machine learning; pytorch; reinforcement learning; scikit-learn; tensorflow
- OSTI Identifier:
- 2205350
- DOI:
- https://doi.org/10.7799/2205350
Citation Formats
Prabakar, Kumaraguru, Ganguly, Subhankar, Velaga, Yaswanth Nag, and Vaidhynathan, Deepthi. PV Inverter Experimental Dataset Version 2 with 100 Percent Power. United States: N. p., 2023.
Web. doi:10.7799/2205350.
Prabakar, Kumaraguru, Ganguly, Subhankar, Velaga, Yaswanth Nag, & Vaidhynathan, Deepthi. PV Inverter Experimental Dataset Version 2 with 100 Percent Power. United States. doi:https://doi.org/10.7799/2205350
Prabakar, Kumaraguru, Ganguly, Subhankar, Velaga, Yaswanth Nag, and Vaidhynathan, Deepthi. 2023.
"PV Inverter Experimental Dataset Version 2 with 100 Percent Power". United States. doi:https://doi.org/10.7799/2205350. https://www.osti.gov/servlets/purl/2205350. Pub date:Fri May 05 04:00:00 UTC 2023
@article{osti_2205350,
title = {PV Inverter Experimental Dataset Version 2 with 100 Percent Power},
author = {Prabakar, Kumaraguru and Ganguly, Subhankar and Velaga, Yaswanth Nag and Vaidhynathan, Deepthi},
abstractNote = {The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and controllable DC supply to emulate AC and DC side characteristics. The experiments were performed at NREL's Energy Systems Integration Facility. The PV inverter is tested under 100%, 75%, 50%, 25% load conditions. In the first dataset, for each operating condition, controllable AC source voltage is varied from 0.88 to 1.09 per unit (p.u) with a step value of 0.025 p.u while keeping the frequency at 60 Hz. In the second dataset, under similar load conditions (100%, 75%, 50%, 25% ), the frequency of the controllable AC source voltage was varied from 59.4 Hz to 60.45 Hz with a step value of 0.2 Hz. Voltage and frequency range is chosen based on inverter protection. Voltages and currents on DC and AC side are included in the dataset.},
doi = {10.7799/2205350},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri May 05 04:00:00 UTC 2023},
month = {Fri May 05 04:00:00 UTC 2023}
}
