在“双碳”目标下，乡村能源系统亟需兼顾可再生能源高效消纳与多元负荷协同供给。针对渔业养殖场景下电、热、氢、氧多能耦合关系复杂、可再生能源季节波动显著的问题，构建了融合光伏、水电、生物质、电网以及电解槽—储氢罐—燃料电池、电化学储能和电解副产氧利用环节的乡村能源系统耦合模型；建立以综合成本最小和综合能源利用效率最大为目标的多目标优化模型，并设置设备运行约束及电-氢-氧-热平衡约束；在求解层面，提出嵌入时序生产模拟的改进NSGA-II方法，对长时间尺度逐时运行过程进行评估。以南方某示范区为例，采用覆盖全年四季特征的552 h典型时段开展仿真。结果表明：相较于基准场景S0，所提方法可使系统运行成本降低约12 %，可再生能源消纳率由91.2%提升至98.5 %，综合能源利用效率达到81 %；同时能够实现氢能跨季节调节、电解副产氧与夜间增氧负荷匹配以及生物质与余热回收协同供热。研究结果验证了所提方法在乡村能源清洁转型中的有效性与工程适用性。

Under the "dual carbon" goals, rural energy systems urgently need to balance the efficient utilization of renewable energy with the coordinated supply of diverse loads. To address the complex multi-energy coupling relationships (electricity, heat, hydrogen, oxygen) in aquaculture scenarios and the significant seasonal fluctuations of renewable energy, a rural energy system coupling model is developed, integrating photovoltaic, hydropower, biomass, grid, and electrolyzer-hydrogen tank-fuel cell, electrochemical energy storage, and byproduct oxygen utilization components. A multi-objective optimization model is established, aiming to minimize comprehensive costs and maximize overall energy utilization efficiency, with constraints on equipment operation and electro-hydrogen-oxygen-heat balance. At the solution level, an improved NSGA-II method incorporating temporal production simulation is proposed to evaluate the hourly operation process over extended time scales. Using a demonstration zone in southern China as a case study, simulations are conducted over a 552-hour period covering all four seasons. Results show that compared to the baseline scenario S0, the proposed method reduces system operation costs by approximately 12%, increases renewable energy utilization from 91.2% to 98.5%, and achieves an overall energy utilization efficiency of 81%. Additionally, it enables seasonal hydrogen regulation, matches electrolyzer byproduct oxygen with nighttime aeration loads, and synergistically provides heating through biomass and waste heat recovery. The results validate the effectiveness and practical applicability of the proposed method in the clean transition of rural energy systems.