The importance of energy efficiency and demand response management while harnessing renewable energy draws more attention from many industries in recent years. Seaports, as large scale end-users, aim to adopt energy management systems (EMS) since energy prices have increased over years and sustainable operations is a key target for greening the port industry. Many seaports start to install fully electrified equipment and use electricity as the source of energy because electricity consumption, instead of carbon-intensive energy sources, contributes to the climate change mitigation targets. In this study, a mixed integer linear programming model is suggested to solve the integrated operations planning and energy management problem for seaports with smart grid (e.g. port microgrid) considering uncertain renewable energy generation. The operations planning aims to determine the number of quay cranes (QCs) and yard equipment to assign to each ship for each one hour period. It also determines each ship’s berthing duration which affects the hourly energy consumption due to the cold ironing and the available reefer containers. These plans result in energy demand. Meanwhile, energy management matches energy demand and supply considering different energy pricing schemes and bidirectional energy trading between energy sources (e.g. utility grid, renewable energy sources) and energy storage systems. Results indicate that significant cost savings can be achieved with smart grid (port microgrid) compared to conventional settings. Deploying energy storage systems in port microgrid results in important cost savings. Energy consumption is dominated by QCs, cold-ironing and reefer containers. Finally ports which harness renewable energy obtain significant costs savings on total cost.

近年来，在利用可再生能源的同时，能源效率和需求响应管理的重要性吸引了许多行业的关注。海港作为大规模的最终用户，旨在采用能源管理系统（EMS），因为能源价格多年来一直在上涨，而可持续运营是绿色港口工业的主要目标。许多海港开始安装完全电气化的设备，并使用电力作为能源，因为电力消耗而不是碳密集型能源有助于缓解气候变化目标。在这项研究中，提出了一个混合整数线性规划模型，以解决具有不确定电网的智能电网（例如港口微电网）港口的综合运营计划和能源管理问题。运营计划旨在确定在每个小时的时段内分配给每艘船的码头起重机（QC）和堆场设备的数量。它还可以确定每艘船的停泊时间，这些时间会影响冷熨烫和可用冷藏箱的小时能耗。这些计划导致能源需求。同时，能源管理考虑不同的能源定价方案以及能源（例如公用电网，可再生能源）和储能系统之间的双向能源交易，来匹配能源需求和供应。结果表明，与传统设置相比，使用智能电网（端口微电网）可以节省大量成本。在端口微电网中部署能量存储系统可节省大量成本。能源消耗主要由质量控制人员控制，冷熨和冷藏容器。最终，利用可再生能源的港口可节省大量总成本。