TY - GEN
T1 - Model predictive control for low-voltage ride through capability enhancement of DFIGs in variable-speed wind turbine systems
AU - Abdelrahem, Mohamed
AU - Mobarak, Muhammad Hosnee
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/13
Y1 - 2017/2/13
N2 - This paper proposes a finite control set-model predictive control (FCS-MPC) system for low-voltage ride through (LVRT) capability enhancement of doubly-fed induction generators (DFIGs) in variable-speed wind turbine systems (WTSs). The proposed FCS-MPC system takes the discrete states of the converter into account and the future converter performance is predicted for each sampling period. Then the optimal switching action that minimizes a predefined cost function is selected to be applied in the next sampling instant. The proposed LVRT strategy uses the DFIG-rotor inertia to store the surplus energy during the grid voltage dips. Moreover, the proposed LVRT strategy enhances the ability of the DFIG to inject active and reactive power to the grid during serious voltage dips. Simulation results are presented to validate the proposed LVRT strategy.
AB - This paper proposes a finite control set-model predictive control (FCS-MPC) system for low-voltage ride through (LVRT) capability enhancement of doubly-fed induction generators (DFIGs) in variable-speed wind turbine systems (WTSs). The proposed FCS-MPC system takes the discrete states of the converter into account and the future converter performance is predicted for each sampling period. Then the optimal switching action that minimizes a predefined cost function is selected to be applied in the next sampling instant. The proposed LVRT strategy uses the DFIG-rotor inertia to store the surplus energy during the grid voltage dips. Moreover, the proposed LVRT strategy enhances the ability of the DFIG to inject active and reactive power to the grid during serious voltage dips. Simulation results are presented to validate the proposed LVRT strategy.
KW - Doubly-fed induction generator (DFIG)
KW - Low-voltage ride through (LVRT)
KW - Model predictive control
UR - http://www.scopus.com/inward/record.url?scp=85016167462&partnerID=8YFLogxK
U2 - 10.1109/ICECE.2016.7853858
DO - 10.1109/ICECE.2016.7853858
M3 - Conference contribution
AN - SCOPUS:85016167462
T3 - Proceedings of 9th International Conference on Electrical and Computer Engineering, ICECE 2016
SP - 70
EP - 73
BT - Proceedings of 9th International Conference on Electrical and Computer Engineering, ICECE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Electrical and Computer Engineering, ICECE 2016
Y2 - 20 December 2016 through 22 December 2016
ER -