Use-Case- Dependent Modeling Approach for Computer Simulation of Hybrid AC-DC Grids

Lavery M, Schwanninger R, März M (2023)


Publication Type: Conference contribution

Publication year: 2023

Publisher: IEEE

Conference Proceedings Title: 2023 IEEE Fifth International Conference on DC Microgrids

Event location: Auckland NZ

DOI: 10.1109/ICDCM54452.2023.10433620

Abstract

An analysis-use-case dependent modeling approach for the computer simulation of hybrid AC-DC grids employing component models with varying degrees of complexity is presented. Three different component model complexity levels for three different component functionality groups and three different use cases are defined. The component modeling is based on analytical averaged descriptions of the converter behavior and introduces a standardized model interface. The proposed merits of this approach are faster simulation times and easier result evaluation making this approach suitable for automated grid simulation and assisted layout evaluation. This makes a technical and economical design evaluation of AC- DC grids much more feasible. Furthermore, manufacturers of grid components could use this design approach to develop models with unified interface ports to be used in DC grid model component libraries. The optimization of computing time for different simulation run times is tested and presented using a simulation tool developed using this approach.

Authors with CRIS profile

How to cite

APA:

Lavery, M., Schwanninger, R., & März, M. (2023). Use-Case- Dependent Modeling Approach for Computer Simulation of Hybrid AC-DC Grids. In 2023 IEEE Fifth International Conference on DC Microgrids. Auckland, NZ: IEEE.

MLA:

Lavery, Melanie, Raffael Schwanninger, and Martin März. "Use-Case- Dependent Modeling Approach for Computer Simulation of Hybrid AC-DC Grids." Proceedings of the 2023 IEEE Fifth International Conference on DC Microgrids, Auckland IEEE, 2023.

BibTeX: Download