Towards Scalable FMI-based Co-simulation of Wind Energy Systems Using PowerFactory

Conference Paper (2019)
Author(s)

A.A. van der Meer (TU Delft - Intelligent Electrical Power Grids)

R. Bhandia (TU Delft - Intelligent Electrical Power Grids)

E. Widl (AIT Austrian Institute of Technology)

Kai Heussen (Technical University of Denmark (DTU))

Cornelius Steinbrink (OFFIS e.V)

P. Chodura (DNV GL)

T.I. Strasser (AIT Austrian Institute of Technology)

Peter Palensky (TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2019 A.A. van der Meer, R. Bhandia, Edmund Widl, Kai Heussen, Cornelius Steinbrink, P. Chodura, Thomas I. Strasser, P. Palensky
DOI related publication
https://doi.org/10.1109/ISGTEurope.2019.8905616
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 A.A. van der Meer, R. Bhandia, Edmund Widl, Kai Heussen, Cornelius Steinbrink, P. Chodura, Thomas I. Strasser, P. Palensky
Research Group
Intelligent Electrical Power Grids
Pages (from-to)
1-5
ISBN (print)
978-1-5386-8219-7
ISBN (electronic)
978-1-5386-8218-0
Reuse Rights

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Abstract

Due to the increased deployment of renewable energy sources and intelligent components the electric power system will exhibit a large degree of heterogeneity, which requires inclusive and multi-disciplinary system assessment. The concept of co-simulation is a very attractive option to achieve this; each domain-specific subsystem can be addressed via its own specialized simulation tool. The applicability, however, depends on aspects like standardised interfaces, automated case creation, initialisation, and the scalability of the co-simulation itself. This work deals with the inclusion of the Functional Mock-up Interface for co-simulation into the DIgSILENT PowerFactory simulator, and tests its accuracy, implementation, and scalability for the grid connection study of a wind power plant. The coupling between the RMS mode of PowerFactory and MATLAB/Simulink in a standardised manner is shown. This approach allows a straightforward inclusion of black-boxed modelling, is easily scalable in size, quantity, and component type.

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