Optimal Control Strategy With Efficiency and Reliability Improvement for Offshore DC Microgrids

Zhu, Xiangchen [Aalborg University]; Huang, Pengxiang [National Laboratory of the Rockies, Golden, CO (United States)]; Zhang, Hanwen [University of Bath]; Wang, Yanbo [Aalborg University]; Wei, Ruizhi [University of Alberta]; Wang, Ning [Aalborg University]; Li, Yunwei [University of Alberta]; Chen, Zhe [Aalborg University]

doi:10.1109/tpel.2025.3585117

DOE OSTI · 3367619

Optimal Control Strategy With Efficiency and Reliability Improvement for Offshore DC Microgrids

Zhu, Xiangchen [Aalborg University]·Huang, Pengxiang [National Laboratory of the Rockies, Golden, CO (United States)]·Zhang, Hanwen [University of Bath]·Wang, Yanbo [Aalborg University]·Wei, Ruizhi [University of Alberta]·Wang, Ning [Aalborg University]·Li, Yunwei [University of Alberta]·Chen, Zhe [Aalborg University]

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Abstract

Offshore microgrids, due to their remote location and lack of external energy support, face significant challenges in wide-range load operation and maintenance. Consequently, efficiency and reliability are critical concerns for converters in offshore dc microgrids. This article presents an optimal control strategy aimed at enhancing both efficiency and reliability. A normalized nonlinear relationship between power loss and thermal stress of a paralleled converter is first established. Based on this, a dual-objective optimization function with an active weight function as well as a system overall performance index is established. The active weight function dynamically adjusts the control priority based on converter efficiency and switching device thermal stress. Then, the optimal power-sharing strategy is derived by the Lagrange multiplier method with the proposed optimal function. Additionally, to accommodate a wide load range, an optimal selection strategy for operating converter combinations is proposed, requiring only low-bandwidth communication. Experiment verification is given to validate the effectiveness of the proposed control strategy. The experiment results demonstrate that the proposed control strategy can improve the overall performance of offshore microgrids by optimizing efficiency and reliability.

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Zhu, Xiangchen [Aalborg University], Huang, Pengxiang [National Laboratory of the Rockies, Golden, CO (United States)], Zhang, Hanwen [University of Bath], Wang, Yanbo [Aalborg University], Wei, Ruizhi [University of Alberta], Wang, Ning [Aalborg University], Li, Yunwei [University of Alberta], Chen, Zhe [Aalborg University]. 2025-07-01. Optimal Control Strategy With Efficiency and Reliability Improvement for Offshore DC Microgrids. https://doi.org/10.1109/tpel.2025.3585117

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