TY - GEN
T1 - Real-Time Prototyping of Optimal Experiment Design in Power Systems using Modelica and FMI
AU - De Castro, Marcelo
AU - Boersma, Sjoerd
AU - Vanfretti, Luigi
N1 - KAUST Repository Item: Exported on 2022-12-07
Acknowledgements: This work was funded in part by the New York State Energy Research and Development Authority (NYSERDA) under grant agreement numbers 37951, in part by Dominion Energy, and in part by the Center of Excellence for NEOM Research at King Abdullah University of Science and Technology.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2022/7/17
Y1 - 2022/7/17
N2 - System identification techniques are incredibly valuable for power system applications. Recent techniques have explored the optimal design for excitation signals in order to maximize an objective function related to an identification procedure. In this context, this paper presents a framework for the deployment of optimal experiment design in power systems using real-time simulation-based experiments. As a first step towards hardware-in-the-loop prototyping of probing experiments, power system models designed with Modelica are exported via FMI standard for deployment in real-time simulators. Results from the real-time simulator show optimized probing signals and provides insights on the chosen optimization weights. The portability of the studied model allows the identification technique to be tested in the real-time simulator environment for probing signal design optimization before field experiments are conducted.
AB - System identification techniques are incredibly valuable for power system applications. Recent techniques have explored the optimal design for excitation signals in order to maximize an objective function related to an identification procedure. In this context, this paper presents a framework for the deployment of optimal experiment design in power systems using real-time simulation-based experiments. As a first step towards hardware-in-the-loop prototyping of probing experiments, power system models designed with Modelica are exported via FMI standard for deployment in real-time simulators. Results from the real-time simulator show optimized probing signals and provides insights on the chosen optimization weights. The portability of the studied model allows the identification technique to be tested in the real-time simulator environment for probing signal design optimization before field experiments are conducted.
UR - http://hdl.handle.net/10754/686242
UR - https://ieeexplore.ieee.org/document/9916801/
UR - http://www.scopus.com/inward/record.url?scp=85141442988&partnerID=8YFLogxK
U2 - 10.1109/PESGM48719.2022.9916801
DO - 10.1109/PESGM48719.2022.9916801
M3 - Conference contribution
SN - 9781665408233
BT - 2022 IEEE Power & Energy Society General Meeting (PESGM)
PB - IEEE
ER -