Split Phase Inverter Data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase 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. 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 0.9 to 1.1 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 Hz to 61 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.
Citation Formats
TY - DATA
AB - The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase 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. 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 0.9 to 1.1 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 Hz to 61 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.
AU - Prabakar, Kumaraguru
A2 - Ganguly, Subhankar
A3 - Velaga, Yaswanth Nag
A4 - Vaidhynathan, Deepthi
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO -
KW - split phase inverter
KW - PV inverter
KW - data analysis
KW - data visualizations
KW - database for artificial intelligence training
KW - database for inverter characterization
KW - artificial intelligence
KW - machine learning
KW - reinforcement learning
KW - tensorflow
KW - pytorch
KW - scikit-learn
KW - database for model validation
LA - English
DA - 2023/03/23
PY - 2023
PB - National Renewable Energy Laboratory
T1 - Split Phase Inverter Data
UR - https://data.openei.org/submissions/8264
ER -
Prabakar, Kumaraguru, et al. Split Phase Inverter Data . National Renewable Energy Laboratory, 23 March, 2023, NREL. https://data.nlr.gov/submissions/213.
Prabakar, K., Ganguly, S., Velaga, Y., & Vaidhynathan, D. (2023). Split Phase Inverter Data . [Data set]. NREL. National Renewable Energy Laboratory. https://data.nlr.gov/submissions/213
Prabakar, Kumaraguru, Subhankar Ganguly, Yaswanth Nag Velaga, and Deepthi Vaidhynathan. Split Phase Inverter Data . National Renewable Energy Laboratory, March, 23, 2023. Distributed by NREL. https://data.nlr.gov/submissions/213
@misc{OEDI_Dataset_8264,
title = {Split Phase Inverter 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 8.35 kW off-the-shelf grid following split phase 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. 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 0.9 to 1.1 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 Hz to 61 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.},
url = {https://data.nlr.gov/submissions/213},
year = {2023},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nlr.gov/submissions/213},
note = {Accessed: 2026-06-06}
}
Details
Data from Mar 23, 2023
Last updated Mar 12, 2026
Submitted Mar 23, 2023
Organization
National Renewable Energy Laboratory
Contact
Kumaraguru Prabakar
Authors
Original Source
https://data.nlr.gov/submissions/213Research Areas
Keywords
split phase inverter, PV inverter, data analysis, data visualizations, database for artificial intelligence training, database for inverter characterization, artificial intelligence, machine learning, reinforcement learning, tensorflow, pytorch, scikit-learn, database for model validationDOE Project Details
Project Name Scalable Multi-Timescale Analysis Platform Based on System Transient and Dynamic Models
Project Number CPS agreement number - 38455

