Modeling and Validation of Renewable Energy Sources in the OpenIPSL Modelica Library

Fernando Fachini, Luigi Vanfretti, Marcelo De Castro, Tetiana Bogodorova, Giuseppe Laere

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

6 Scopus citations


This paper presents the implementation of industry grade renewable energy source phasor time-domain models from the Western Electricity Coordinating Council (WECC) Renewable Energy Modeling Task Force (REMTF) utilizing the OpenIPSL Modelica library. The modules described in this paper are generic, thus being able to be used to represent photovoltaic (PV), battery (BESS), and wind energy sources in transient stability scenarios, with added modularity given the object-oriented nature of Modelica models. The modeled components are briefly described, giving emphasis on how they were modeled in Modelica and coupled to the OpenIPSL library. Finally, the models described in this work were validated against the commercial software tool Siemens PTI PSS®E and showed to accurately replicate its results bringing validity to the Modelica-based implementation.
Original languageEnglish (US)
Title of host publicationIECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society
ISBN (Print)9781665435543
StatePublished - Nov 15 2021
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-23
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 the New York State Energy Research and Development Authority (NYSERDA) under agreement numbers 137948 in part by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under Award EEC-1041877, in part by the CURENT Industry Partnership Program, in part by the Center of Excellence for NEOM Research at King Abdullah University of Science and Technology, and in part by Dominion Energy.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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