Shipboard Power Management for Failure Mode Using the Hybrid MPC Approach

Xiuyan Peng, Bo Wang, Lanyong Zhang and Peng Su
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Xiuyan Peng: College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
Bo Wang: College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
Lanyong Zhang: College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
Peng Su: China Ship Development and Design Center, Wuhan 430064, China

Energies, 2021, vol. 14, issue 10, 1-15

Abstract: Shipboard integrated power systems, the key technology of ship electrification, call for effective failure mode power management control strategy to achieve the safe and reliable operation in dynamic reconfiguration. Considering switch reconfiguration with system dynamics and power balance restoration after reconfiguration, in this paper, the optimization objective function of optimal management for ship failure mode is established as a hybrid model predictive control problem from the perspective of hybrid system. To meet the needs for fast computation, a hierarchical hybrid model predictive control algorithm is proposed, which divides the original optimization problem into two stages, and reduces the computation complexity by relaxing constraints and the minimum principle. By applying to a real-time simulator in two scenarios, the results verify the effectivity of the proposed method.

Keywords: shipboard power system; failure mode; reconfiguration; hybrid model predictive control; real-time optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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