Battery Inverter Experimental 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 30 kW off-the-shelf grid following battery 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 30 kW off-the-shelf grid following battery 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
A2 - Ganguly
A3 - Velaga
A4 - Vaidhynathan
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - battery inverter
KW - data analysis
KW - data visualizations
KW - database for artificial intelligence training
KW - database for inverter characterization
KW - database for model validation
KW - artificial intelligence
KW - machine learning
KW - reinforcement learning
KW - tensorflow
KW - pytorch
KW - scikit-learn
LA - English
DA - 2023/01/06
PY - 2023
PB - National Renewable Energy Laboratory
T1 - Battery Inverter Experimental Data
UR - https://data.openei.org/submissions/8255
ER -
Prabakar, et al. Battery Inverter Experimental Data. National Renewable Energy Laboratory, 6 January, 2023, NREL. https://data.nrel.gov/submissions/204.
Prabakar, Ganguly, Velaga, & Vaidhynathan. (2023). Battery Inverter Experimental Data. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/204
Prabakar, Ganguly, Velaga, and Vaidhynathan. Battery Inverter Experimental Data. National Renewable Energy Laboratory, January, 6, 2023. Distributed by NREL. https://data.nrel.gov/submissions/204
@misc{OEDI_Dataset_8255,
title = {Battery Inverter Experimental Data},
author = {Prabakar and Ganguly and Velaga and Vaidhynathan},
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 30 kW off-the-shelf grid following battery 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.nrel.gov/submissions/204},
year = {2023},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/204},
note = {Accessed: 2025-05-04}
}
Details
Data from Jan 6, 2023
Last updated Jan 17, 2025
Submitted Jan 6, 2023
Organization
National Renewable Energy Laboratory
Contact
Kumaraguru Prabakar
Authors
Original Source
https://data.nrel.gov/submissions/204Research Areas
Keywords
battery inverter, 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-learnDOE Project Details
Project Name Scalable Multi-Timescale Analysis Platform Based on System Transient and Dynamic Models
Project Number CPS agreement number - 38455