Extensive electrification of ship power systems appears to be a promising measure to meet stringent environmental requirements. The concept is to enable ship power management to allocate loads in response to load variations in an optimal manner. From a broader design perspective, the reliability of machinery operation is also of importance, especially with regard to the failure cost from power outages. In this paper, an approach for determining optimal power plants based on economic and environmental perspectives across several architecture choices is proposed. The design procedure involves the implementation of metaheuristic optimization to minimize fuel consumption and emissions released, while maintenance and repair services can be extracted using reliability assessment tools. The simulation results demonstrated that ship power management using the whale optimization algorithm (WOA) was able to reduce fuel consumption and corresponding emissions in a range from 4.04–8.86%, varying with the profiles, by eliminating inefficient working generators and distributing loads for the rest to the nearest possible energy-saving areas. There was also a trade-off between maintenance service and overall system expenses. Finally, a compromise solution was sought with the proposed holistic design for contradictory cost components by taking into account fuel operation consumption, shore electricity supply, maintenance service and investment expenditure.

中文翻译：

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用于综合电力推进船舶的经济高效且具有排放意识的电厂系统设计

船舶电力系统的广泛电气化似乎是满足严格环境要求的一项有前途的措施。这个概念是使船舶电源管理能够以最佳方式分配负载以响应负载变化。从更广泛的设计角度来看，机械运行的可靠性也很重要，尤其是考虑到停电造成的故障成本。在本文中，提出了一种基于经济和环境视角跨多个架构选择来确定最佳发电厂的方法。设计程序涉及元启发式优化的实施，以最大限度地减少燃料消耗和排放，同时可以使用可靠性评估工具提取维护和维修服务。仿真结果表明，使用鲸鱼优化算法 (WOA) 的船舶功率管理能够减少 4.04-8.86% 的燃料消耗和相应的排放量，随剖面变化，通过消除低效工作发电机并为其余部分分配负载到最近的节能区域。在维护服务和整个系统费用之间也需要权衡。最后，通过考虑燃料运行消耗、岸电供应、维护服务和投资支出，针对相互矛盾的成本组成部分的拟议整体设计寻求折衷解决方案。通过消除效率低下的发电机并将其余的负载分配到最近的节能区域。在维护服务和整个系统费用之间也需要权衡。最后，通过考虑燃料运行消耗、岸电供应、维护服务和投资支出，针对相互矛盾的成本组成部分的拟议整体设计寻求折衷解决方案。通过消除效率低下的发电机并将其余的负载分配到最近的节能区域。在维护服务和整个系统费用之间也需要权衡。最后，通过考虑燃料运行消耗、岸电供应、维护服务和投资支出，针对相互矛盾的成本组成部分的拟议整体设计寻求折衷解决方案。