TY - JOUR
T1 - Real-time thermal management for two-level active rectifier with finite control set model predictive control
AU - Ozkan, Gokhan
AU - Hoang, Phuong H.
AU - Ramezani Badr, Payam
AU - Edrington, Chris S.
AU - Papari, Behnaz
N1 - Publisher Copyright:
© 2021
PY - 2021/10
Y1 - 2021/10
N2 - A power electronic converters' reliability is crucial for power systems. The degradation and failure of the switching devices are mainly related to their junction temperature. The temperature fluctuation on a switching device, i.e. the thermal cycling, can be reduced by controlling the losses on the semiconductors, which may cause power quality issues. Increasing the switching frequency can improve the power quality; however, it has a negative impact on the thermal stress for semiconductors. Overall, there is a trade-off between thermal cycling and power quality, and both should be managed to improve the reliability while meeting system requirements. In this paper, a Finite Control Set Model Predictive Control (FCS-MPC) method is proposed to provide electro-thermal control on semiconductor devices by minimizing the power quality issues via selection of the optimum switching states. The proposed algorithm performance is validated by offline simulation and controller-hardware-in-the-loop (CHIL) experimentation.
AB - A power electronic converters' reliability is crucial for power systems. The degradation and failure of the switching devices are mainly related to their junction temperature. The temperature fluctuation on a switching device, i.e. the thermal cycling, can be reduced by controlling the losses on the semiconductors, which may cause power quality issues. Increasing the switching frequency can improve the power quality; however, it has a negative impact on the thermal stress for semiconductors. Overall, there is a trade-off between thermal cycling and power quality, and both should be managed to improve the reliability while meeting system requirements. In this paper, a Finite Control Set Model Predictive Control (FCS-MPC) method is proposed to provide electro-thermal control on semiconductor devices by minimizing the power quality issues via selection of the optimum switching states. The proposed algorithm performance is validated by offline simulation and controller-hardware-in-the-loop (CHIL) experimentation.
KW - Active thermal management
KW - Controller-hardware-in-the-loop (CHIL)
KW - Model predictive control
KW - Power electronics
UR - https://www.scopus.com/pages/publications/85104618025
U2 - 10.1016/j.ijepes.2021.107057
DO - 10.1016/j.ijepes.2021.107057
M3 - Review article
AN - SCOPUS:85104618025
SN - 0142-0615
VL - 131
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
M1 - 107057
ER -