Multi-Domain Power and Thermo-Fluid System Stability Modeling using Modelica and OpenIPSL

Fernando Fachini, Marcelo De Castro, Mingzhe Liu, Tetiana Bogodorova, Luigi Vanfretti, Wangda Zuo

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

3 Scopus citations

Abstract

This paper presents the a set of multi-domain load models that allow simulating the dynamics of coalesced electrical power and the thermo-fluid system by exploiting the Modelica language based on the Modelica OpenIPSL power system library. This allows for phasor domain representation of the electrical grid, such as that used in de facto power system stability software, to be combined with the electro-mechanical (e.g. motor-drive) and thermo-fluid representation of the load (e.g. heat pumps and pipes). The added dynamics of the thermo-fluid and mechanical interfaces allow for simulating the transient effects of disturbances of the load explicitly by following its own constitutive physics, thereby enabling dynamic interaction between electrical and hydraulic contingencies. The modeled components are described with emphasis on how they are modeled in Modelica and were tested for different electrical and fluid-flow contingencies, demonstrating their usability and their viability in representing higher fidelity multi-domain load systems.
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 material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Advanced Manufacturing Office, Award Number DE-EE0009139. The views expressed herein do not necessarily represent the views of the U.S. Department of Energy or the United States Government. The work of M. de Castro and L. Vanfretti was supported in part by Dominion Energy, in part by the New York State Energy Research and Development Authority (NYSERDA) under agreement number 137948, 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.

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