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Title:Multi-level model predictive control for all-electric ships with hybrid power generation
Authors:A. Haseltalab, F. Wani, R.R. Negenborn

Journal:International Journal of Electrical Power and Energy Systems

Abstract:Power availability to preserve propulsion is a vital issue in the shipping industry which relies on persistent power generation and maintaining the stability of the power and propulsion system. Since the introduction of on-board all-electric Direct Current Power and Propulsion Systems (DC-PPS) with hybrid power generation, which are more efficient compared to direct-diesel and Alternating Current (AC) all-electric configurations, there have been extensive investigations on stabilization and power generation control to enable robust and reliable performance of DC-PPS during different ship operations. In this paper, a multi-level approach is proposed for hybrid power generation control. For this goal, first, a mathematical model is proposed for each power system component and then, the overall on-board power system is modeled in a state space format. Then, a multi-level Model Predictive Control (MPC) approach is proposed for the DC voltage control which unlike conventional droop control approaches, takes the DC current generated by power sources into account explicitly. The performance of the proposed approach is evaluated via several simulation experiments with a high fidelity model of a high voltage DC-PPS. The results of this paper lead to enabling more effective approaches for power generation and stability control of constant power loaded microgrids.

Reference:A. Haseltalab, F. Wani, R.R. Negenborn. Multi-level model predictive control for all-electric ships with hybrid power generation. International Journal of Electrical Power and Energy Systems, vol. 135, no. 107484, February 2022. Open access.
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