Risk-Aware Coordination of Logistics Scheduling and Energy Management for Maritime Mobile Microgrid Clusters
A. Lin, Shuli Wen, Miao Zhu, Xiaochi Cai
Abstract
All-electric ship fleets, which are distinct from land-based microgrid clusters, operate as maritime mobile microgrid clusters, navigating among multiple ports to satisfy various spatial-temporally logistics service demands of each port. In this context, unlike a traditional ship fleet dispatching problem which only focuses on logistics, a joint optimal energy management and logistic scheduling is proposed in this article, taking into account the navigation risk. To minimize the operation costs while ensuring the logistics service quality, a hierarchical coordinated optimization framework is proposed to jointly optimize the logistics scheduling and energy management, adhering to navigation safety guidelines. Within this framework, novel risk-aware port-to-port paths are determined using a specific graph search algorithm tailored for multi-port maritime transportation, guaranteeing the safety and reliability of each all-electric ship (AES). The optimal logistics scheduling, including spatial-temporal trip chains for AESs in the fleet, is performed to reduce turnaround time. Furthermore, in order to improve the operational performance of ship fleets, an advanced energy management integrated with voyage speed adjustment is employed to minimize fuel consumption and greenhouse gas emissions for each AES. Numerical results reveal that with the help of the proposed coordinated optimization algorithm, both economic costs and carbon emissions are efficiently reduced with high-quality logistics services.