考虑到分时电价机制在降低船舶能源成本方面的潜力、岸电设备连接与断开对船舶停泊时间的影响，以及已改装船载受电系统船舶的数量等实际因素，本研究旨在提高码头运营效率并减少船舶停泊期间使用辅机产生的碳排放，在分时电价机制下合理规划船舶岸电使用与泊位分配，提出岸电与泊位联合分配方案。为此，构建总运营成本最小和总碳排放成本最小的双目标优化模型，并设计结合启发式方法、邻域拥挤度计算与动态拥挤度更新策略的改进非支配排序遗传算法(NSGA-II)求解模型。基于某集装箱码头的实际情况进行算例测试与敏感性分析，结果表明：大部分规模算例下，本文设计的改进NGSA-II算法在计算结果和性能方面均优于传统NSGA-II算法；改装船比例70%时，总碳排放成本降幅最大，总运营成本增幅最小；谷时段最长的峰谷时段划分相比最短的划分，总运营成本降低7.65%，总碳排放成本降低2.47%，用电船舶数量增加33%，谷时段电价对船舶用电更具有吸引力；分时电价有助于降低总运营成本，船舶成本中等待成本和偏离成本对总运营成本影响较大，而延迟成本影响较小。

Considering the potential of time-of-use electricity pricing in reducing ship energy costs, the impact of shore power equipment connection and disconnection on berthing times, and the number of retrofitted ships equipped with onboard shore power receiving systems, this study aims to enhance terminal operational efficiency and reduce carbon emissions from auxiliary engine usage during ship berthing. Under the time-of-use electricity pricing mechanism, a joint shore power usage and berth allocation scheme is proposed. To this end, a bi-objective optimization model is developed to minimize both total operational costs and total carbon emission costs. An improved Non-Dominated Sorting Genetic Algorithm (NSGA-II) is designed to solve the model, incorporating heuristic methods, neighborhood crowding degree calculation, and a dynamic crowding degree update strategy. Case studies and sensitivity analyses based on the operational data of a container terminal show that the proposed improved NSGA-II algorithm outperforms the traditional NSGA-II algorithm in terms of both solution quality and computational performance in most test scenarios. When the proportion of retrofitted ships reaches 70%, the total carbon emission cost experiences the greatest reduction, while the total operating cost sees the smallest increase. Moreover, compared to the shortest off-peak period, the longest off-peak period in the time-of-use pricing scheme reduces total operational costs by 7.65%, total carbon emission costs by 2.47%, and increases the number of ships using shore power by 33%. These results indicate that lower electricity prices during off-peak periods significantly incentivize ships to use shore power. Time-of-use pricing helps reduce total operational costs. Among ship costs, waiting and deviation costs have a significant impact on total operational costs, while delay costs have a smaller effect.