U.S. Department of EnergyOffice of Scientific and Technical Information
PV inverter experimental data
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. Due to the limitations of the DC supply used, inverter is tested under 75%, 50%, 25% load conditions (This dataset does not contain 100% load condition). 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 (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.
- Publication Date:
- Other Number(s):
- CPS agreement number - 38455
- DOE Contract Number:
- CPS agreement number - 38455
- Research Org.:
- National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 47 OTHER INSTRUMENTATION
- Keywords:
- data analysis; data visualizations; database for artificial intelligence training; database for inverter characterization; database for model validation; artificial intelligence; machine learning; reinforcement learning; tensorflow; pytorch; scikit-learn; PV inverter
- OSTI Identifier:
- 1914317
- DOI:
- https://doi.org/10.7799/1914317
Citation Formats
Prabakar, Kumaraguru, Ganguly, Subhankar, Velaga, Yaswanth Nag, and Vaidhynathan, Deepthi. PV inverter experimental data. United States: N. p., 2023.
Web. doi:10.7799/1914317.
Prabakar, Kumaraguru, Ganguly, Subhankar, Velaga, Yaswanth Nag, & Vaidhynathan, Deepthi. PV inverter experimental data. United States. doi:https://doi.org/10.7799/1914317
Prabakar, Kumaraguru, Ganguly, Subhankar, Velaga, Yaswanth Nag, and Vaidhynathan, Deepthi. 2023.
"PV inverter experimental data". United States. doi:https://doi.org/10.7799/1914317. https://www.osti.gov/servlets/purl/1914317. Pub date:Fri Jan 06 00:00:00 EST 2023
@article{osti_1914317,
title = {PV inverter experimental data},
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. Due to the limitations of the DC supply used, inverter is tested under 75%, 50%, 25% load conditions (This dataset does not contain 100% load condition). 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 (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 = {10.7799/1914317},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 06 00:00:00 EST 2023},
month = {Fri Jan 06 00:00:00 EST 2023}
}