Ajou University repository

Predictive Control with Discrete Space-Vector Modulation of Vienna Rectifier for Driving PMSG of Wind Turbine Systemsoa mark
Citations

SCOPUS

90

Citation Export

Publication Year
2019-12-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Transactions on Power Electronics, Vol.34, pp.12368-12383
Keyword
Permanent magnet synchronous generator (PMSG)predictive controlthree-level rectifierVienna rectifierwind turbine system (WTS)
Mesh Keyword
Permanent magnet synchronous generatorPredictive controlThree level rectifiersVienna rectifiersWind turbine systems
All Science Classification Codes (ASJC)
Electrical and Electronic Engineering
Abstract
This paper proposes the predictive control with the discrete space-vector modulation (DSVM) for Vienna rectifier connecting to the permanent magnet synchronous generator (PMSG) of the wind turbine system (WTS). Since Vienna rectifier has the special operation principle, Vienna rectifier generates only the feasible eight voltage vectors, which can be a candidate vector for the predictive control, depending on the sign of the input currents. In the proposed predictive control, the feasible voltage vectors are extended from 8 to 19 consisting the 8 original voltage vectors and 11 virtual voltage vectors by using the DSVM for improving the current quality related to the torque ripple, vibration, and noise, and the neutral-point voltage balance with low voltage ripple is guaranteed by using the offset value calculated based on the model of two dc-link capacitors in Vienna rectifier. The scheme for reducing calculation burden is applied in selecting the candidate vector. In addition, the limited operation range for the maximum torque per ampere control of PMSG connected to Vienna rectifier is analyzed. The performance of the proposed predictive control with DSVM for Vienna rectifier with PMSGs is verified in simulation and experiment.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30922
DOI
https://doi.org/10.1109/tpel.2019.2905843
Fulltext

Type
Article
Funding
Manuscript received September 21, 2018; revised December 29, 2018; accepted March 3, 2019. Date of publication March 26, 2019; date of current version September 6, 2019. This work was supported by the Railroad Technology Research Program funded by Ministry of Land, Infrastructure and Transport of Korean Government under Grant 19RTRP-B146008-02. Recommended for publication by Associate Editor R. Kennel. (Corresponding author: June-Seok Lee.) J.-S. Lee is with the Propulsion System Research Team, Korea Railroad Research Institute, Uiwang 16105, South Korea (e-mail:,ljs@krri.re.kr).
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

 Lee, Kyo-Beum Image
Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.