Real-Time Prototyping of Optimal Experiment Design in Power Systems using Modelica and FMI

Marcelo De Castro, Sjoerd Boersma, Luigi Vanfretti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.
Original languageEnglish (US)
Title of host publication2022 IEEE Power & Energy Society General Meeting (PESGM)
PublisherIEEE
ISBN (Print)9781665408233
DOIs
StatePublished - Jul 17 2022
Externally publishedYes

Bibliographical note

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.

Fingerprint

Dive into the research topics of 'Real-Time Prototyping of Optimal Experiment Design in Power Systems using Modelica and FMI'. Together they form a unique fingerprint.

Cite this