Details
| Original language | English |
|---|---|
| Title of host publication | 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 903-910 |
| Number of pages | 8 |
| ISBN (electronic) | 9798350317589 |
| ISBN (print) | 979-8-3503-1759-6 |
| Publication status | Published - 2023 |
| Event | 26th International Conference on Electrical Machines and Systems, ICEMS 2023 - Zhuhai, China Duration: 5 Nov 2023 → 8 Nov 2023 Conference number: 26 |
Abstract
This paper describes a new hybrid analytical-numerical calculation method for predicting the equivalent circuit parameters and the performance of doubly fed induction generators (DFIGs). In comparison to established analytical methods, the equivalent circuit parameters are determined by calculating magnetic field parameters like the air-gap flux density and the total flux linkage of the stator and the rotor winding from magnetostatic finite element method (FEM) calculations. The discrepancies between analytical assumptions and FEM calculations are considered in the postprocessing, particularly in the case of strong magnetic saturation in the iron core. The performance of DFIG can be iteratively predicted using the equivalent circuit. Finally, a comparison with a transient FEM simulation validates the hybrid analytical-numerical calculation method.
Keywords
- DFIG, equivalent circuit parameters, hybrid analytical-numerical calculation method, parameter identification, steady-state performance
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Automotive Engineering
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2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 903-910.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Hybrid Analytical-Numerical Calculation of Equivalent Circuit Parameters and Steady-State Performance of DFIG
AU - Zhu, Xi
AU - Ponick, Bernd
N1 - Conference code: 26
PY - 2023
Y1 - 2023
N2 - This paper describes a new hybrid analytical-numerical calculation method for predicting the equivalent circuit parameters and the performance of doubly fed induction generators (DFIGs). In comparison to established analytical methods, the equivalent circuit parameters are determined by calculating magnetic field parameters like the air-gap flux density and the total flux linkage of the stator and the rotor winding from magnetostatic finite element method (FEM) calculations. The discrepancies between analytical assumptions and FEM calculations are considered in the postprocessing, particularly in the case of strong magnetic saturation in the iron core. The performance of DFIG can be iteratively predicted using the equivalent circuit. Finally, a comparison with a transient FEM simulation validates the hybrid analytical-numerical calculation method.
AB - This paper describes a new hybrid analytical-numerical calculation method for predicting the equivalent circuit parameters and the performance of doubly fed induction generators (DFIGs). In comparison to established analytical methods, the equivalent circuit parameters are determined by calculating magnetic field parameters like the air-gap flux density and the total flux linkage of the stator and the rotor winding from magnetostatic finite element method (FEM) calculations. The discrepancies between analytical assumptions and FEM calculations are considered in the postprocessing, particularly in the case of strong magnetic saturation in the iron core. The performance of DFIG can be iteratively predicted using the equivalent circuit. Finally, a comparison with a transient FEM simulation validates the hybrid analytical-numerical calculation method.
KW - DFIG
KW - equivalent circuit parameters
KW - hybrid analytical-numerical calculation method
KW - parameter identification
KW - steady-state performance
UR - http://www.scopus.com/inward/record.url?scp=85182344515&partnerID=8YFLogxK
U2 - 10.1109/ICEMS59686.2023.10344508
DO - 10.1109/ICEMS59686.2023.10344508
M3 - Conference contribution
AN - SCOPUS:85182344515
SN - 979-8-3503-1759-6
SP - 903
EP - 910
BT - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th International Conference on Electrical Machines and Systems, ICEMS 2023
Y2 - 5 November 2023 through 8 November 2023
ER -