Data

Electric Vehicle Charger Test Data - Dynamic Grid Response

University of Tasmania, Australia
Evan Franklin ; Nathan McKillop ; Christopher Wembridge
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://data.utas.edu.au/metadata/e3a0f870-5c40-4ad3-b2b8-17c8c22c368c&rft.title=Electric Vehicle Charger Test Data - Dynamic Grid Response&rft.identifier=https://data.utas.edu.au/metadata/e3a0f870-5c40-4ad3-b2b8-17c8c22c368c&rft.publisher=University of Tasmania, Australia&rft.description=A number of electric vehicles and chargers, commercially available (in Australia), have been systematically tested, using state of the art laboratory test and measurement equipment, while being exposed to a range of well-defined electrical grid conditions (voltage and frequency). Tested conditions include disturbances typically experienced in power systems, both in Australia and other parts of the world, during normal operation and during short-term contingency conditions. These datasets contain electrical voltage and current data for a number of tests, which may then be used by other researchers or stakeholders for purposes of analysis and modelling. Datasets are .mat files, which may be easily loaded and read using Matlab, with data structures being clearly labelled. Each .mat file contains high res (0.1 ms) timeseries data for RMS voltage, current, active power, and reactive power; each .mat file is named with EV type (A, B, C, D...), tested fault voltage and fault duration. Any use of the data or for publication or otherwise sharing should acknowledge the School of Engineering at UTAS for testing and measurement and for providing data. For more information on test set-up, analysis of some test data and, from the data, the development of dynamic EV load models suitable for power system simulations can be found in the journal IEEE Transactions on Industry Applications: N. McKillop, C. Wembridge, S. Ransome, E. Franklin and J. Lord, Practical Testing and Modelling of Electric Vehicle Charger Responses During Power System Faults, in IEEE Transactions on Industry Applications, vol. TBD, 2025, doi: TBD [Note: article is still under review at date of publication of this data, 3 Feb 2025. However, interested data users can simply search for the paper using the article title listed above, or may request a copy from the data authors].&rft.creator=Evan Franklin &rft.creator=Nathan McKillop &rft.creator=Christopher Wembridge &rft.date=2025&rft_rights=Attribution - NonCommercial - Share Alike(BY - NC - SA) http://creativecommons.org/licenses/by-nc-sa/4.0/&rft_subject=Electrical energy transmission, networks and systems&rft_subject=Electrical engineering&rft_subject=ENGINEERING&rft_subject=Energy systems and analysis&rft_subject=Energy storage, distribution and supply&rft_subject=ENERGY&rft_subject=Electric Vehicle Test Data&rft_subject=Fault Ride Through&rft_subject=Dynamic Behaviour&rft_subject=Electricity Grids&rft_subject=Electrical Fault Tolerance&rft_subject=Load Modelling&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Non-Commercial Licence view details
CC-BY-NC-SA

Attribution - NonCommercial - Share Alike(BY - NC - SA)
http://creativecommons.org/licenses/by-nc-sa/4.0/

Access:

Open

Full description

A number of electric vehicles and chargers, commercially available (in Australia), have been systematically tested, using state of the art laboratory test and measurement equipment, while being exposed to a range of well-defined electrical grid conditions (voltage and frequency). Tested conditions include disturbances typically experienced in power systems, both in Australia and other parts of the world, during normal operation and during short-term contingency conditions. These datasets contain electrical voltage and current data for a number of tests, which may then be used by other researchers or stakeholders for purposes of analysis and modelling. Datasets are .mat files, which may be easily loaded and read using Matlab, with data structures being clearly labelled. Each .mat file contains high res (0.1 ms) timeseries data for RMS voltage, current, active power, and reactive power; each .mat file is named with EV type (A, B, C, D...), tested fault voltage and fault duration. Any use of the data or for publication or otherwise sharing should acknowledge the School of Engineering at UTAS for testing and measurement and for providing data. For more information on test set-up, analysis of some test data and, from the data, the development of dynamic EV load models suitable for power system simulations can be found in the journal IEEE Transactions on Industry Applications: N. McKillop, C. Wembridge, S. Ransome, E. Franklin and J. Lord, "Practical Testing and Modelling of Electric Vehicle Charger Responses During Power System Faults," in IEEE Transactions on Industry Applications, vol. TBD, 2025, doi: TBD [Note: article is still under review at date of publication of this data, 3 Feb 2025. However, interested data users can simply search for the paper using the article title listed above, or may request a copy from the data authors].

This dataset is part of a larger collection

Click to explore relationships graph
ACN 633 798 857