随着物流行业的快速发展，配备电动重卡和冷链装置的物流园区的负荷需求急剧增长，导致园区整体运行成本上升。为此，引入共享储能装置作为能源交易的第三方，提出了一种基于博弈定价激励机制的多综合能源系统调度优化方法，考虑物流园区的高负荷需求与常规综合能源系统可再生能源发电特征上的互补性，求解各参与方在追求各自目标最优时的交互策略。通过分析园区的电动重卡和冷藏装置的负荷特征构建负荷转移模型，采用灵活充放电的储能容量共享租赁模式，构建了一个包含共享储能的物流园区系统与常规综合能源系统的交互模型。在此基础上建立含主从博弈的动态电价分析多系统之间的交易互动。结果表明，提出的多系统交互模型不仅满足了物流园区电、冷负荷的能量调度需求，而且确保了多能源系统总成本最低，减少弃风弃光，与传统模型相比，系统整体成本下降6.0%。

With the rapid development of the logistics industry, the load demand in logistics parks equipped with electric heavy-duty trucks and cold chain facilities has increased sharply, leading to higher overall operating costs. To address this, a shared energy storage system is introduced as a thirdparty energy transaction platform, and a scheduling optimization method for multi-integrated energy systems based on a game-theoretic pricing incentive mechanism is proposed. This method considers the complementary characteristics between the high load demand of logistics parks and the renewable energy generation features of conventional integrated energy systems, solving the interaction strategies of all participants while pursuing their respective optimal objectives. A load-shifting model is constructed by analyzing the load characteristics of electric heavy-duty trucks and cold chain facilities. A flexible charging and discharging capacity-sharing rental model for energy storage is adopted, and an interaction model between the logistics park system with shared energy storage and conventional integrated energy systems is developed. On this basis, a dynamic pricing analysis based on a leaderfollower game is established to explore energy transaction interactions among multiple systems. The results show that the proposed multi-system interaction model not only meets the energy scheduling demands of electricity and cooling loads in logistics parks but also ensures the lowest cost across multiple energy systems, reduces wind and solar energy curtailment, and achieves a 6.0% reduction in overall system costs compared to traditional models.