Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)
This data set shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes.
Citation Formats
National Renewable Energy Laboratory. (2024). Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following) [data set]. Retrieved from https://data.nrel.gov/submissions/253.
Nemsow, , Fedish, , Vaidhynathan, , Ganguly, , and Prabakar, . Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following). United States: N.p., 23 Dec, 2024. Web. https://data.nrel.gov/submissions/253.
Nemsow, , Fedish, , Vaidhynathan, , Ganguly, , & Prabakar, . Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following). United States. https://data.nrel.gov/submissions/253
Nemsow, , Fedish, , Vaidhynathan, , Ganguly, , and Prabakar, . 2024. "Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)". United States. https://data.nrel.gov/submissions/253.
@div{oedi_8299, title = {Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)}, author = {Nemsow, , Fedish, , Vaidhynathan, , Ganguly, , and Prabakar, .}, abstractNote = {This data set shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes. }, doi = {}, url = {https://data.nrel.gov/submissions/253}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {12}}
Details
Data from Dec 23, 2024
Last updated Dec 28, 2024
Submitted Dec 23, 2024
Organization
National Renewable Energy Laboratory
Contact
Kumaraguru Prabakar
Authors
Original Source
https://data.nrel.gov/submissions/253Research Areas
Keywords
Fuel cells, fuel cell inverter, grid-following fuel cell inverter, grid-forming fuel cell inverter, microgrid operation, microgrid controller, artificial intelligence, database for artificial intelligence training, machine learning, database for inverter characterization, database for machine learningDOE Project Details
Project Name Validation of interconnection and interoperability of grid-forming inverters sourced by Hydrogen technologies in view of 100% renewable microgrids
Project Number CPS Agreement Number: 38809