Multi-objective robust energy management for all-electric shipboard microgrid under uncertain wind and wave

• Published in: International journal of electrical power & energy systems Vol. 117; p. 105600
• Main Authors: Fang, Sidun, Xu, Yan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2020
• Subjects: All-electric ship; Energy management system; Joint generation and voyage scheduling; Mobile microgrid; Robustness; Uncertain wave and wind; All-electric ship; Mobile microgrid; Joint generation and voyage scheduling; Robustness; Uncertain wave and wind; Energy management system
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2019.105600

•A robust energy management model for all-electric shipboard microgrid is proposed to address the uncertainties of water wave or wind.•The proposed model considers the speed loss led by the uncertain wave and wind during the navigation route.•A corresponding constraint decomposition method is formulated to solve this complex model. An all-electric ship (AES) uses diesel generators and energy storage system (ESS) to meet both propulsion and service loads. Thus, it can be viewed as a mobile microgrid. During the operation of an AES, significant uncertainties such as water wave and wind introduce considerable speed loss, which may lead to severe voyage delays. To fully address this issue, a new robust energy management model is proposed to coordinately schedule an AES’s power generation and voyage considering the uncertain wave and wind. Two objectives are minimized simultaneously: the fuel consumption (FC) and energy efficiency operational indicator (EEOI). The problem is formulated as a bi-level robust optimization model after certain constraint decomposition. Normal boundary intersection method is utilized to solve this multi-objective programming. Compared with existing joint scheduling methods, the proposed method can fully guarantee the on-time rates of AES in various uncertain scenarios and providing high-quality Pareto solutions.