DC Microgrid Reliability Enhancement with Adaptive Converter Thermal Management
Due to the different device selections, aging levels, and thermal dissipation performance, some converters may take additional thermal stress on switching devices than others in paralleled converter systems, which will reduce system reliability. To address this problem, this paper proposes a power-sharing strategy with adaptive thermal management. First, the temperature-based power loss model and electrical-thermal model are established. Based on that, a high-accuracy IGBT junction temperature estimate considering the power loss-temperature coupling can be achieved. Further, the thermal-sharing for all the switching devices in paralleled converters can be achieved with the proposed adaptive thermal management strategy. The proposed strategy can change the power-sharing ratio adaptively according to the system operation conditions, which will contribute to the system reliability enhancement. The effectiveness of the proposed strategy is verified through PLECS thermal simulation and joint real-time simulation with Dspace and RT-box.
Citation Formats
TY - DATA
AB - Due to the different device selections, aging levels, and thermal dissipation performance, some converters may take additional thermal stress on switching devices than others in paralleled converter systems, which will reduce system reliability. To address this problem, this paper proposes a power-sharing strategy with adaptive thermal management. First, the temperature-based power loss model and electrical-thermal model are established. Based on that, a high-accuracy IGBT junction temperature estimate considering the power loss-temperature coupling can be achieved. Further, the thermal-sharing for all the switching devices in paralleled converters can be achieved with the proposed adaptive thermal management strategy. The proposed strategy can change the power-sharing ratio adaptively according to the system operation conditions, which will contribute to the system reliability enhancement. The effectiveness of the proposed strategy is verified through PLECS thermal simulation and joint real-time simulation with Dspace and RT-box.
AU - Zhu, Xiangchen
A2 - Huang, Pengxiang
A3 - Wang, Yanbo
A4 - Zhang, Hanwen
A5 - Wei, Ruizhi
A6 - Li, Yunwei Ryan
A7 - Chen, Zhe
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO - 10.1109/ICRERA62673.2024.10815453
KW - Battery energy storage
KW - Power electronics and inverters
KW - Power electronics
KW - Inverters
KW - Thermal energy systems
KW - TENs
KW - District energy
KW - Solar
KW - Photovoltaics
KW - PV
KW - Case studies
KW - Performance
KW - Maintenance and operations
KW - Operations
KW - Maintenance
KW - Commissioning
KW - Local energy resources (LER)
LA - English
DA - 2024/01/01
PY - 2024
PB - Aalborg University
T1 - DC Microgrid Reliability Enhancement with Adaptive Converter Thermal Management
UR - https://doi.org/10.1109/ICRERA62673.2024.10815453
ER -
Zhu, Xiangchen, et al. DC Microgrid Reliability Enhancement with Adaptive Converter Thermal Management. Aalborg University, 1 January, 2024, C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1109/ICRERA62673.2024.10815453.
Zhu, X., Huang, P., Wang, Y., Zhang, H., Wei, R., Li, Y., & Chen, Z. (2024). DC Microgrid Reliability Enhancement with Adaptive Converter Thermal Management. [Data set]. C-MIX - Community Microgrid Information Exchange. Aalborg University. https://doi.org/10.1109/ICRERA62673.2024.10815453
Zhu, Xiangchen, Pengxiang Huang, Yanbo Wang, Hanwen Zhang, Ruizhi Wei, Yunwei Ryan Li, and Zhe Chen. DC Microgrid Reliability Enhancement with Adaptive Converter Thermal Management. Aalborg University, January, 1, 2024. Distributed by C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1109/ICRERA62673.2024.10815453
@misc{CMIX_Dataset_12,
title = {DC Microgrid Reliability Enhancement with Adaptive Converter Thermal Management},
author = {Zhu, Xiangchen and Huang, Pengxiang and Wang, Yanbo and Zhang, Hanwen and Wei, Ruizhi and Li, Yunwei Ryan and Chen, Zhe},
abstractNote = {Due to the different device selections, aging levels, and thermal dissipation performance, some converters may take additional thermal stress on switching devices than others in paralleled converter systems, which will reduce system reliability. To address this problem, this paper proposes a power-sharing strategy with adaptive thermal management. First, the temperature-based power loss model and electrical-thermal model are established. Based on that, a high-accuracy IGBT junction temperature estimate considering the power loss-temperature coupling can be achieved. Further, the thermal-sharing for all the switching devices in paralleled converters can be achieved with the proposed adaptive thermal management strategy. The proposed strategy can change the power-sharing ratio adaptively according to the system operation conditions, which will contribute to the system reliability enhancement. The effectiveness of the proposed strategy is verified through PLECS thermal simulation and joint real-time simulation with Dspace and RT-box.},
url = {https://cmix.openei.org/submissions/12},
year = {2024},
howpublished = {C-MIX - Community Microgrid Information Exchange, Aalborg University, https://doi.org/10.1109/ICRERA62673.2024.10815453},
note = {Accessed: 2026-08-06},
doi = {10.1109/ICRERA62673.2024.10815453}
}
https://dx.doi.org/10.1109/ICRERA62673.2024.10815453
Details
Data from Jan 1, 2024
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
Aalborg University
Contact
Pengxiang Huang

