DC Microgrid Reliability Enhancement with Adaptive Converter Thermal Management

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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 -
Export Citation to RIS
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

Authors

Xiangchen Zhu

Aalborg University

Pengxiang Huang

NLR

Yanbo Wang

Aalborg University

Hanwen Zhang

Aalborg University

Ruizhi Wei

University of Alberta

Yunwei Ryan Li

University of Alberta

Zhe Chen

Aalborg University
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