High-Fidelity Model of Stand-Alone Diesel Electric Generator With Hybrid Turbine-Governor Configuration for Microgrid Studies
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Develops a high-fidelity dynamic model of a stand-alone diesel electric generator to support microgrid control design as inverter-based resources provide fast frequency response alongside diesel primary response. The model includes a synchronous machine, DC4B excitation with a V/Hz limiter, and a modified IEEE GGOV1 engine-governor configuration tuned via surrogate optimization to emulate the load-step response of a 400 kVA Caterpillar C-15 genset. Compares performance against common governor configurations and demonstrates improved agreement with measured behavior for microgrid studies.
Citation Formats
TY - DATA
AB - Develops a high-fidelity dynamic model of a stand-alone diesel electric generator to support microgrid control design as inverter-based resources provide fast frequency response alongside diesel primary response. The model includes a synchronous machine, DC4B excitation with a V/Hz limiter, and a modified IEEE GGOV1 engine-governor configuration tuned via surrogate optimization to emulate the load-step response of a 400 kVA Caterpillar C-15 genset. Compares performance against common governor configurations and demonstrates improved agreement with measured behavior for microgrid studies.
AU - Shah, Chinmay
A2 - Hansen, Timothy M.
A3 - Tonkoski, Reinaldo
A4 - Shirazi, Mariko
A5 - Cicilio, Phylicia
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 - 2022/10/03
PY - 2022
PB - University of Alaska Fairbanks
T1 - High-Fidelity Model of Stand-Alone Diesel Electric Generator With Hybrid Turbine-Governor Configuration for Microgrid Studies
UR - https://cmix.openei.org/submissions/178
ER -
Shah, Chinmay, et al. High-Fidelity Model of Stand-Alone Diesel Electric Generator With Hybrid Turbine-Governor Configuration for Microgrid Studies. University of Alaska Fairbanks, 3 October, 2022, C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/178.
Shah, C., Hansen, T., Tonkoski, R., Shirazi, M., & Cicilio, P. (2022). High-Fidelity Model of Stand-Alone Diesel Electric Generator With Hybrid Turbine-Governor Configuration for Microgrid Studies. [Data set]. C-MIX - Community Microgrid Information Exchange. University of Alaska Fairbanks. https://cmix.openei.org/submissions/178
Shah, Chinmay, Timothy M. Hansen, Reinaldo Tonkoski, Mariko Shirazi, and Phylicia Cicilio. High-Fidelity Model of Stand-Alone Diesel Electric Generator With Hybrid Turbine-Governor Configuration for Microgrid Studies. University of Alaska Fairbanks, October, 3, 2022. Distributed by C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/178
@misc{CMIX_Dataset_178,
title = {High-Fidelity Model of Stand-Alone Diesel Electric Generator With Hybrid Turbine-Governor Configuration for Microgrid Studies},
author = {Shah, Chinmay and Hansen, Timothy M. and Tonkoski, Reinaldo and Shirazi, Mariko and Cicilio, Phylicia},
abstractNote = {Develops a high-fidelity dynamic model of a stand-alone diesel electric generator to support microgrid control design as inverter-based resources provide fast frequency response alongside diesel primary response. The model includes a synchronous machine, DC4B excitation with a V/Hz limiter, and a modified IEEE GGOV1 engine-governor configuration tuned via surrogate optimization to emulate the load-step response of a 400 kVA Caterpillar C-15 genset. Compares performance against common governor configurations and demonstrates improved agreement with measured behavior for microgrid studies.},
url = {https://cmix.openei.org/submissions/178},
year = {2022},
howpublished = {C-MIX - Community Microgrid Information Exchange, University of Alaska Fairbanks, https://cmix.openei.org/submissions/178},
note = {Accessed: 2026-10-11}
}
Details
Data from Oct 3, 2022
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
University of Alaska Fairbanks
Contact
Richard Wies
Authors
