TY - GEN
T1 - Predictive Torque Control without Weighting Factors for Doubly-Fed Induction Generators in Wind Turbine Applications
AU - Abdelrahem, Mohamed
AU - Kennel, Ralph
AU - Hackl, Christoph
AU - Rodriguez, Jose
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/9
Y1 - 2020/11/9
N2 - This paper presents a predictive torque control (PTC) method for doubly-fed induction generators (DFIGs) without weighting factors. The proposed control technique is based on calculating the d-axis reference current from the reference torque. Furthermore, the q-axis reference current is employed to regulate the reactive power exchange between the stator of the DFIG and the grid. Then, thereference voltage vector (VV) is directly computed from the reference current vector using the deadbeat principle. Finally, according to the location of this reference VV, only three evaluations of the cost function are required. The cost function includes only the error between the reference VV and the candidates ones, which eliminates the need for weighting factors. Experimental results using a dSPACE DS1007 real-time platform and a 10kW DFIG are presented to verify the feasibility of theproposed control method.
AB - This paper presents a predictive torque control (PTC) method for doubly-fed induction generators (DFIGs) without weighting factors. The proposed control technique is based on calculating the d-axis reference current from the reference torque. Furthermore, the q-axis reference current is employed to regulate the reactive power exchange between the stator of the DFIG and the grid. Then, thereference voltage vector (VV) is directly computed from the reference current vector using the deadbeat principle. Finally, according to the location of this reference VV, only three evaluations of the cost function are required. The cost function includes only the error between the reference VV and the candidates ones, which eliminates the need for weighting factors. Experimental results using a dSPACE DS1007 real-time platform and a 10kW DFIG are presented to verify the feasibility of theproposed control method.
KW - Predictive torque control
KW - doubly-fed induction generator
KW - weighting factors
KW - wind turbine
UR - http://www.scopus.com/inward/record.url?scp=85098595055&partnerID=8YFLogxK
U2 - 10.1109/COMPEL49091.2020.9265641
DO - 10.1109/COMPEL49091.2020.9265641
M3 - Conference contribution
AN - SCOPUS:85098595055
T3 - 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020
BT - 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020
Y2 - 9 November 2020 through 12 November 2020
ER -