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Authors: Pierre-Marie Gibert 1 ; Romain Losseau 1 ; Adrien Guironnet 1 ; Patrick Panciatici 1 ; Damien Tromeur-Dervout 2 and Jocelyne Erhel 3

Affiliations: 1 System Expertise Department, RTE, Versailles and France ; 2 Institut Camille Jordan, University Claude Bernard Lyon 1, Lyon and France ; 3 Fluminance Team, Inria Rennes, Rennes and France

Keyword(s): Electromagnetic Transients, Time-domain Simulations, Adaptive Step Size Algorithm.

Related Ontology Subjects/Areas/Topics: Computer Simulation Techniques ; Dynamical Systems Models and Methods ; Formal Methods ; Simulation and Modeling ; Simulation Tools and Platforms

Abstract: In order to help the introduction of renewable energy sources into the power system, transmission system operators need extremely reliable simulation tools. In most of the existing simulation tools, heuristics used to accelerate the simulations combine the modeling and solving aspects. Such kinds of approaches lead to results whose validity can be questioned. In contrary, our framework aims at avoiding such heuristics by completely separating the modeler and the solver. However, such an approach is difficult as the computational cost may be significantly higher. In addition, as we simulate the full-waveform of AC power systems, the time step size used by classical methods for integrating the arising systems of DAE is limited by the frequency of some electrical components. This is why we developed an efficient solver based on the reference solver SUNDIALS IDA which takes into account the guessed sinusoidal behavior of the solution oscillating parts in order to lower the number of iter ations for performing a simulation. Our first results seem to indicate that the proposed solver enables to use much larger time steps than a standard integration scheme, while preserving a very high flexibility of modeling. (More)

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Paper citation in several formats:
Gibert, P.; Losseau, R.; Guironnet, A.; Panciatici, P.; Tromeur-Dervout, D. and Erhel, J. (2018). Use of the Sinusoidal Predictor Method within a Fully Separated Modeler/Solver Framework for Fast and Flexible EMT Simulations. In Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-323-0; ISSN 2184-2841, SciTePress, pages 34-43. DOI: 10.5220/0006860400340043

@conference{simultech18,
author={Pierre{-}Marie Gibert. and Romain Losseau. and Adrien Guironnet. and Patrick Panciatici. and Damien Tromeur{-}Dervout. and Jocelyne Erhel.},
title={Use of the Sinusoidal Predictor Method within a Fully Separated Modeler/Solver Framework for Fast and Flexible EMT Simulations},
booktitle={Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2018},
pages={34-43},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006860400340043},
isbn={978-989-758-323-0},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Use of the Sinusoidal Predictor Method within a Fully Separated Modeler/Solver Framework for Fast and Flexible EMT Simulations
SN - 978-989-758-323-0
IS - 2184-2841
AU - Gibert, P.
AU - Losseau, R.
AU - Guironnet, A.
AU - Panciatici, P.
AU - Tromeur-Dervout, D.
AU - Erhel, J.
PY - 2018
SP - 34
EP - 43
DO - 10.5220/0006860400340043
PB - SciTePress