Optimal Power Management for Failure Mode of MVDC Microgrids in All-Electric Ships
For shipboard power system operators, this work addresses the gap in mid-time scheduling and cost-aware recovery during failures, though the improvements over existing methods are not quantified.
This paper formulates an optimal power management problem for failure modes in MVDC microgrids on all-electric ships, considering mid-time scheduling and faults at bus and generator. It proposes a Benders decomposition-based algorithm and a low-complexity near-optimal variant, achieving effective fault mitigation with feasibility guarantees.
Optimal power management of shipboard power system for failure mode (OPMSF) is a significant and challenging problem considering the safety of system and person. Many existing works focused on the transient-time recovery without consideration of the operating cost and the voyage plan. In this paper, the OPMSF problem is formulated considering the mid-time scheduling and the faults at bus and generator. Two- side adjustment methods including the load shedding and the reconfiguration are coordinated for reducing the fault effects. To address the formulated non-convex problem, the travel equality constraint and fractional energy efficiency operation indicator (EEOI) limitation are transformed into the convex forms. Then, considering the infeasibility scenario affected by faults, a further relaxation is adopted to formulate a new problem with feasibility guaranteed. Furthermore, a sufficient condition is derived to ensure that the new problem has the same optimal solution as the original one. Because of the mixed-integer nonlinear feature, an optimal algorithm based on Benders decomposition (BD) is developed to solve the new one. Due to the slow convergence caused by the time-coupled constraints, a low-complexity near-optimal algorithm based on BD (LNBD) is proposed. The results verify the effectivity of the proposed methods and algorithms.