Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017 |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
ISBN (elektronisch) | 9781538632468 |
Publikationsstatus | Veröffentlicht - 2 Okt. 2017 |
Veranstaltung | 20th International Conference on Electrical Machines and Systems, ICEMS 2017 - Sydney, Australien Dauer: 11 Aug. 2017 → 14 Aug. 2017 |
Abstract
The efficiency analysis of Runge-Kutta family methods for solving ordinary differential equations (ODEs) in order to simulate typical transient processes in AC machines is performed in this paper considering the choice of the set of variables in the state space vector. The detailed analysis of the AC machine ODEs and their numerical solution is performed based on the estimation of the higher order derivatives and the numerical solution error using constant step solvers. The influence of the Runge-Kutta solver parameters and the choice of variables in the state space vector on the numerical performance is shown, and a method for the machine specific optimization of the ODE solver is proposed. The AC machine used for the numerical experiments is described by Park's two-axis model which is extended with the effect of rotor current displacement and elastic coupling with the load in the mechanical system.
ASJC Scopus Sachgebiete
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Ingenieurwesen (insg.)
- Maschinenbau
- Mathematik (insg.)
- Steuerung und Optimierung
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2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8056113.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Performance of Runge-Kutta family numerical solvers for calculation of transient processes in AC machines
AU - Korolova, Olga
AU - Popp, Michael
AU - Mathis, Wolfgang
AU - Ponick, Bernd
N1 - Funding Information: ACKNOWLEDGMENT The authors would like to thank the Volkswagen Foundation for the financial support of this work in the context of the funding initiative entitled ”Niedersaechsisches Vorab” for research institutes in Lower Saxony within the project AMSES (Aggregated Models for the Simulation of Electromechanical Power Systems). Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - The efficiency analysis of Runge-Kutta family methods for solving ordinary differential equations (ODEs) in order to simulate typical transient processes in AC machines is performed in this paper considering the choice of the set of variables in the state space vector. The detailed analysis of the AC machine ODEs and their numerical solution is performed based on the estimation of the higher order derivatives and the numerical solution error using constant step solvers. The influence of the Runge-Kutta solver parameters and the choice of variables in the state space vector on the numerical performance is shown, and a method for the machine specific optimization of the ODE solver is proposed. The AC machine used for the numerical experiments is described by Park's two-axis model which is extended with the effect of rotor current displacement and elastic coupling with the load in the mechanical system.
AB - The efficiency analysis of Runge-Kutta family methods for solving ordinary differential equations (ODEs) in order to simulate typical transient processes in AC machines is performed in this paper considering the choice of the set of variables in the state space vector. The detailed analysis of the AC machine ODEs and their numerical solution is performed based on the estimation of the higher order derivatives and the numerical solution error using constant step solvers. The influence of the Runge-Kutta solver parameters and the choice of variables in the state space vector on the numerical performance is shown, and a method for the machine specific optimization of the ODE solver is proposed. The AC machine used for the numerical experiments is described by Park's two-axis model which is extended with the effect of rotor current displacement and elastic coupling with the load in the mechanical system.
KW - AC machine
KW - Numerical solver
KW - Runge-Kutta family method
KW - Transient simulation
UR - http://www.scopus.com/inward/record.url?scp=85034646503&partnerID=8YFLogxK
U2 - 10.1109/icems.2017.8056113
DO - 10.1109/icems.2017.8056113
M3 - Conference contribution
AN - SCOPUS:85034646503
BT - 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on Electrical Machines and Systems, ICEMS 2017
Y2 - 11 August 2017 through 14 August 2017
ER -