@inproceedings{BaldinCassirerCleesetal.2021,
author = {Anton Baldin and Kl{\"a}re Cassirer and Tanja Clees and Bernhard Klaassen and Igor Nikitin and Lialia Nikitina and Sabine Pott},
title = {AdvWarp: A Transformation Algorithm for Advanced Modeling of Gas Compressors and Drives},
series = {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},
publisher = {SCITEPRESS - Science and Technology Publications},
isbn = {978-989-758-528-9},
doi = {10.5220/0010512602310238},
pages = {231 -- 238},
year = {2021},
abstract = {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.},
language = {en}
}