Article | Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019 | DAE Solvers for Large-Scale Hybrid Models Linköping University Electronic Press Conference Proceedings
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Title:
DAE Solvers for Large-Scale Hybrid Models
Author:
Erik Henningsson: Dassault Systèmes AB, Lund, Sweden Hans Olsson: Dassault Systèmes AB, Lund, Sweden Luigi Vanfretti: Rensselaer Polytechnic Institute, Troy, NY, USA
DOI:
10.3384/ecp19157491
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Full text (pdf)
Year:
2019
Conference:
Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019
Issue:
157
Article no.:
050
Pages:
12
No. of pages:
491-502
Publication type:
Abstract and Fulltext
Published:
2019-02-01
ISBN:
978-91-7685-122-7
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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We present a strategy for DAE mode simulations of large-scale Modelica models with state events. DAE solvers can be orders of magnitudes faster than traditional ODE solvers when simulating models with large algebraic loops. Such loops are common in, for example, power grid models. Central for our DAE mode approach is the accurate and efficient treatment of state events. Adapting, extending, and optimizing results known in the literature to the Modelica context resulted in a DAE mode implementation first released in Dymola 2019 and 3DEXPERIENCE 2019x. The implementation is verified by efficiency experiments featuring OpenIPSL power grid models. The run times for these models are competitive with domain-specific, state-of-the-art simulation tools.

Keywords: DAE mode, hybrid model, state event, largescale, Modelica, power grid model

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019

Author:
Erik Henningsson, Hans Olsson, Luigi Vanfretti
Title:
DAE Solvers for Large-Scale Hybrid Models
DOI:
http://dx.doi.org/10.3384/ecp19157491
References:
No references available

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019

Author:
Erik Henningsson, Hans Olsson, Luigi Vanfretti
Title:
DAE Solvers for Large-Scale Hybrid Models
DOI:
https://doi.org10.3384/ecp19157491
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Last updated: 2019-10-02