针对能源系统弃风光率高、出力不稳定、经济效益低的问题，提出一种以提升经济效益、降低碳排放为目标，面向含高比例可再生能源园区混合储能系统的协调调度方法。该方法充分利用不同储能的动态响应特性与容量差异，氢储能主要承担大功率小波动的调节需求，电化学储能主要承担小功率大波动的调节需求，天然气储能在氢储能和电化学储能的基础上增加储能系统的灵活性，进一步平衡园区能源系统的总功率。该方法充分考虑风电、光伏出力、本地负荷与电价的不确定性，在跨季节调度阶段根据四季典型预测数据决策氢储能、天然气储能的全年存储状态；单日调度阶段根据单日长期预测制定混合储能的功率调度指令，在实时调度阶段根据单日调度结果以及不确定场景的短期预测，实时调整风电、光伏出力与联络线功率，制定最优运行方案。算例测试表明，所提方法有效降低了能源系统的弃风光率与碳排放，提升了经济效益。

To solve the problems of high curtailment rates of RESs, unstable outputs and low financial performance call for more flexible dispatch method. A coordinated dispatch method for the hybrid energy storages system to enhance financial performance and reduce carbon emissions is proposed in this paper. The proposed method fully utilized the dynamic response capabilities and capacity characteristics of different energy storages. The hydrogen storage system (HSS) operates for the high power demand with low power fluctuation, whereas the battery storage system (BSS) is utilized for the low power demand with high power fluctuation. The gas storage system (GSS) improves the flexibility of the hybrid energy storage, and operates for the power balance of the energy system. The uncertainties of wind turbines (WTs) output, photovoltaics(PVs) output, local power demand and electricity price are fully considered. At the cross-seasonal decision stage, the state of charges of HSS and GSS are determined based on the typical seasonal predicted data. At the daily decision stage, the power of all energy storages is scheduled according to daily prediction data. At the real-time decision stage, the WTs output, PVs output and the tie-line power are determined based on the short-leading-time predictions of uncertainties. The numerical results show that the proposed method effectively reduces the curtailment rate of RESs and improves the financial performance of the energy system.