AdvWarp: A Transformation Algorithm for Advanced Modeling of Gas Compressors and Drives
- Solving transport network problems can be complicated by non-linear effects. In the particular case of gas transport networks, the most complex non-linear elements are compressors and their drives. They are described by a system of equations, composed of a piecewise linear ‘free’ model for the control logic and a non-linear ‘advanced’ model for calibrated characteristics of the compressor. For all element equations, certain stability criteria must be fulfilled, providing the absence of folds in associated system mapping. In this paper, we consider a transformation (warping) of a system from the space of calibration parameters to the space of transport variables, satisfying these criteria. The algorithm drastically improves stability of the network solver. Numerous tests on realistic networks show that nearly 100% convergence rate of the solver is achieved with this approach.
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Anton Baldin, Kläre Cassirer, Tanja Clees, Bernhard Klaassen, Igor Nikitin, Lialia Nikitina, Sabine Pott |
| Parent Title (English): | Wagner, Werner et al. (Eds.): Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021, July 7-9, 2021 |
| Number of pages: | 8 |
| First Page: | 231 |
| Last Page: | 238 |
| ISBN: | 978-989-758-528-9 |
| DOI: | https://doi.org/10.5220/0010512602310238 |
| Publisher: | SCITEPRESS - Science and Technology Publications |
| Date of first publication: | 2021/07/22 |
| Keyword: | Applications in Energy Transport; Complex Systems Modeling and Simulation; Non-linear systems |
| Departments, institutes and facilities: | Fachbereich Ingenieurwissenschaften und Kommunikation |
| Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) | |
| Dewey Decimal Classification (DDC): | 5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik |
| Entry in this database: | 2021/07/27 |
