Experimental Validation of a Diesel Genset Frequency Dynamics Model for Use in Remote Area Power Systems
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Addresses the need for accurate diesel generator dynamic models in converter-dominated remote microgrids by experimentally identifying and validating a frequency dynamics model for a 400 kVA diesel genset. Notes that original vendor/system models often do not match observed field behavior and presents a validated model derived from experiments to better capture frequency response. The model supports higher-fidelity simulation for microgrid stability and power-quality studies, controller development, and integration assessments involving inverter-based resources.
Citation Formats
TY - DATA
AB - Addresses the need for accurate diesel generator dynamic models in converter-dominated remote microgrids by experimentally identifying and validating a frequency dynamics model for a 400 kVA diesel genset. Notes that original vendor/system models often do not match observed field behavior and presents a validated model derived from experiments to better capture frequency response. The model supports higher-fidelity simulation for microgrid stability and power-quality studies, controller development, and integration assessments involving inverter-based resources.
AU - Rauniyar, Manisha
A2 - Rekabdarkolaee, Hossein Moradi
A3 - Shirazi, Mariko
A4 - Hansen, Timothy M
A5 - Tonkoski, Reinaldo
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO -
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Power electronics and inverters
KW - Power electronics
KW - Inverters
KW - Power plant controls
KW - SCADA
KW - Maintenance and operations
KW - Operations
KW - Maintenance
KW - Commissioning
KW - Planning and design
KW - Planning
KW - Design
LA - English
DA - 2024/06/13
PY - 2024
PB - Electric Power Research Institute
T1 - Experimental Validation of a Diesel Genset Frequency Dynamics Model for Use in Remote Area Power Systems
UR - https://cmix.openei.org/submissions/175
ER -
Rauniyar, Manisha, et al. Experimental Validation of a Diesel Genset Frequency Dynamics Model for Use in Remote Area Power Systems. Electric Power Research Institute, 13 June, 2024, C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/175.
Rauniyar, M., Rekabdarkolaee, H., Shirazi, M., Hansen, T., & Tonkoski, R. (2024). Experimental Validation of a Diesel Genset Frequency Dynamics Model for Use in Remote Area Power Systems. [Data set]. C-MIX - Community Microgrid Information Exchange. Electric Power Research Institute. https://cmix.openei.org/submissions/175
Rauniyar, Manisha, Hossein Moradi Rekabdarkolaee, Mariko Shirazi, Timothy M Hansen, and Reinaldo Tonkoski. Experimental Validation of a Diesel Genset Frequency Dynamics Model for Use in Remote Area Power Systems. Electric Power Research Institute, June, 13, 2024. Distributed by C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/175
@misc{CMIX_Dataset_175,
title = {Experimental Validation of a Diesel Genset Frequency Dynamics Model for Use in Remote Area Power Systems},
author = {Rauniyar, Manisha and Rekabdarkolaee, Hossein Moradi and Shirazi, Mariko and Hansen, Timothy M and Tonkoski, Reinaldo},
abstractNote = {Addresses the need for accurate diesel generator dynamic models in converter-dominated remote microgrids by experimentally identifying and validating a frequency dynamics model for a 400 kVA diesel genset. Notes that original vendor/system models often do not match observed field behavior and presents a validated model derived from experiments to better capture frequency response. The model supports higher-fidelity simulation for microgrid stability and power-quality studies, controller development, and integration assessments involving inverter-based resources.},
url = {https://cmix.openei.org/submissions/175},
year = {2024},
howpublished = {C-MIX - Community Microgrid Information Exchange, Electric Power Research Institute, https://cmix.openei.org/submissions/175},
note = {Accessed: 2026-10-11}
}
Details
Data from Jun 13, 2024
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
Electric Power Research Institute
Contact
Manisha Rauniyar
Authors
