TY - JOUR
T1 - A Hybrid Algorithm for Parameter Estimation (HAPE) for Diesel Generator Sets
AU - Overlin, Matthew R.
AU - MacOmber, James
AU - Smith, Christopher L.
AU - Daniel, Luca
AU - Corbett, Edward G.
AU - Kirtley, James L.
N1 - Publisher Copyright:
IEEE
PY - 2022/2/23
Y1 - 2022/2/23
N2 - In order to simulate the dynamic phenomena of devices within a microgrid, suitable simulation models are needed. Historically, parameterization approaches have been explored for large generator sets rather than for smaller generator sets, which would be more suitable in a microgrid. Additionally, non-invasive experimental methods are often preferred over invasive methods when collecting data. Further, if there are many uncertain parameters, then it is more imperative to employ a larger computing platform. In this work, a hybrid algorithm for parameter estimation (HAPE) is utilized to find a fitting simulation model for a diesel genset. A Sobol parameter sensitivity analysis is conducted to inform the HAPE of the more influential parameters. Finally, the HAPE is developed for a supercomputing platform so that the HAPE can be executed in a massively parallel fashion.
AB - In order to simulate the dynamic phenomena of devices within a microgrid, suitable simulation models are needed. Historically, parameterization approaches have been explored for large generator sets rather than for smaller generator sets, which would be more suitable in a microgrid. Additionally, non-invasive experimental methods are often preferred over invasive methods when collecting data. Further, if there are many uncertain parameters, then it is more imperative to employ a larger computing platform. In this work, a hybrid algorithm for parameter estimation (HAPE) is utilized to find a fitting simulation model for a diesel genset. A Sobol parameter sensitivity analysis is conducted to inform the HAPE of the more influential parameters. Finally, the HAPE is developed for a supercomputing platform so that the HAPE can be executed in a massively parallel fashion.
KW - Time-domain simulation
KW - high-fidelity simulations
KW - parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=85125315512&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/4f99ef35-c7b9-3edf-b22c-cac3299d1587/
U2 - 10.1109/TEC.2022.3153438
DO - 10.1109/TEC.2022.3153438
M3 - Article
AN - SCOPUS:85125315512
SN - 0885-8969
VL - 37
SP - 1704
EP - 1714
JO - IEEE Transactions on Energy Conversion
JF - IEEE Transactions on Energy Conversion
IS - 3
ER -