近年来，综合能源系统作为实现“双碳”目标的重要路径得到广泛应用，但在实际运行中仍面临着源、荷动态失衡的挑战，如何通过储能配置协调动态负荷需求与可再生能源出力特性，已成为推动综合能源系统实现低碳与经济协同运行的关键问题。因此，本文以山东省烟台市某园区综合能源系统为研究对象，基于园区全年冷、热负荷及现有设备配置，在TRNSYS仿真平台上构建了全年时间尺度的动态仿真模型。同时，以系统费用年值和年全生命周期碳排放量最小化为多目标，选取光伏组件安装倾角、方位角及蓄电池容量作为优化变量，通过Genopt平台集成Hooke-Jeeves算法，实现多变量协同优化。结果表明，当光伏组件倾角为33.06°、方位角为5.88°、蓄电池容量为269 kWh时，系统在经济与环境效益方面达到综合最优。与初始方案相比，优化方案的费用年值降低7.75%，且全生命周期内年均减少二氧化碳排放384.27 t。同时，由于储能容量减小，系统在可再生能源出力不足时段对外部电网的依赖度有所增加，电网供电比例由61.04%提升至61.68%。本研究构建的全年动态仿真与多目标优化框架，为园区综合能源系统优化设计提供量化依据，对推动区域能源低碳转型提供了参考。

In recent years, integrated energy systems have been widely adopted as a crucial pathway for achieving the "dual carbon" goals. However, there still exist challenges related to source-load dynamic imbalance during actual operation. How to coordinate dynamic load demand with renewable energy output characteristics through energy storage configuration has become a key issue in promoting the low-carbon and economic synergistic operation of integrated energy systems. Therefore, the integrated energy system of a certain park in Yantai City, Shandong Province, was taken as the research object in this paper. Based on the annual cold and heat load and the existing equipment configuration, a dynamic simulation model on the annual time scale was constructed on the TRNSYS simulation platform. Moreover, considering the minimization of the annual cost and the annual life-cycle carbon emissions as multiple objectives, the installation tilt angle of photovoltaic modules, the azimuth angle, and the capacity of the battery were selected as optimization variables. Through the integration of the Hooke-Jeeves algorithm on the Genopt platform, multi-variable collaborative optimization was achieved. The results showed that when the tilt angle of the photovoltaic module was 33.06°, the azimuth angle was 5.88°, and the capacity of the battery was 269 kWh, the system achieved comprehensive optimization in terms of economic and environmental benefits. Compared with the initial scheme, the annual cost of the optimized scheme was reduced by 7.75%, and the annual life-cycle carbon emission reduction was 384.27 t. Meanwhile, due to the reduction in energy storage capacity, the dependence of the system on the external power grid during periods of insufficient renewable energy output increased, and the power supply proportion of the power grid increased from 61.04% to 61.68%. The dynamic simulation and multi-objective optimization framework developed in this study provides a quantitative basis for the optimal design of park-level integrated energy systems and serves as a valuable reference for promoting the low-carbon transition of regional energy systems.