TY - JOUR
T1 - A Computationally Efficient Quasi-Centralized DMPC for Back-to-Back Converter PMSG Wind Turbine Systems Without DC-Link Tracking Errors
AU - Zhang, James Zhenbin
AU - Sun, Tongjing
AU - Wang, Fengxiang
AU - Rodriguez, Jose
AU - Kennel, Ralph
N1 - Funding Information:
This work was supported in part by the DFG under Grant KE817/32-1, in part by the National Natural Science Foundation of China under Grant 51507172, in part by National Instruments and Infineon, and in part by the Universidad Andres Bello, the Advanced Center of Electric and Electronic Engineering AC3E, and the Chilean Research fund under Grant 1150829
Publisher Copyright:
© 1982-2012 IEEE.
PY - 2016/10
Y1 - 2016/10
N2 - Quasi-centralized direct model predictive control (QC-DMPC) scheme may serve as an effective alternative for back-to-back power converter in permanent magnet synchronous generator (PMSG) wind turbine systems. However, model errors and imperfect power efficiency lead to evident dc-link voltage tracking offset. This paper proposes a revised quasi-centralized direct model predictive control (RQC-DMPC) scheme for back-to-back converter PMSG wind turbine systems, within which, the dc-link voltage is directly controlled by a grid side predictive controller with a flexibly designed cost function using a revised dynamic reference generation concept. The dc-link voltage steady status tracking errors are eliminated. To reduce the computational efforts of the classical scheme, a computational efficient concept is incorporated into the proposed method. The proposed scheme is implemented on an entirely field programmable gate array-based platform. The effectiveness of the proposed method is verified through experimental data. The dc-link control performance comparison with classical proportional-integration controller-based methods and the QC-DMPC scheme under different scenarios are also experimentally investigated. The results emphasize the improvement of the proposed RQC-DMPC scheme.
AB - Quasi-centralized direct model predictive control (QC-DMPC) scheme may serve as an effective alternative for back-to-back power converter in permanent magnet synchronous generator (PMSG) wind turbine systems. However, model errors and imperfect power efficiency lead to evident dc-link voltage tracking offset. This paper proposes a revised quasi-centralized direct model predictive control (RQC-DMPC) scheme for back-to-back converter PMSG wind turbine systems, within which, the dc-link voltage is directly controlled by a grid side predictive controller with a flexibly designed cost function using a revised dynamic reference generation concept. The dc-link voltage steady status tracking errors are eliminated. To reduce the computational efforts of the classical scheme, a computational efficient concept is incorporated into the proposed method. The proposed scheme is implemented on an entirely field programmable gate array-based platform. The effectiveness of the proposed method is verified through experimental data. The dc-link control performance comparison with classical proportional-integration controller-based methods and the QC-DMPC scheme under different scenarios are also experimentally investigated. The results emphasize the improvement of the proposed RQC-DMPC scheme.
KW - Back-to-back converter permanent-magnet synchronous generator (PMSG) wind turbine system
KW - FPGA
KW - dc-link voltage control
KW - revised quasi-centralized direct model predictive control (RQC-DMPC)
UR - http://www.scopus.com/inward/record.url?scp=84987971492&partnerID=8YFLogxK
U2 - 10.1109/TIE.2016.2573768
DO - 10.1109/TIE.2016.2573768
M3 - Article
AN - SCOPUS:84987971492
SN - 0278-0046
VL - 63
SP - 6160
EP - 6171
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 10
M1 - 7480847
ER -