电力系统中混合储能系统的协调运行可以弥补单一储能在多时间尺度电力和电量调节中的不足，但其经济性限制了其与源荷协同参与辅助电网调峰和提升新能源消纳中的应用潜力。为此，提出了一种基于动态时区划分的混合储能源荷协同优化调度方法。首先，基于源荷不平衡功率，综合考虑新能源出力预测误差与需求侧响应设计了动态时区划分策略，引导混合储能在日前-日内不同时间尺度下从电量与电力两个维度协同提升新能源消纳能力和辅助调峰效果。其次，以系统日总运行成本最小为目标，构建了系统日前-日内滚动优化调度模型，其中能量型储能在日前尺度提供调峰电量支撑，功率型储能在日内尺度平抑新能源波动，并通过滚动优化减少系统源荷预测误差，同时嵌入储能循环寿命模型，使系统调度结果更贴近实际工况。最后，通过算例验证了所提方法在经济性、新能源消纳及调峰效果方面的有效性和优越性。

The coordinated operation of hybrid energy storage systems （HESS) in the power system can make up for the shortcomings of single energy storage in multiple time-scales power and electricity scheduling, but its economic limitations limit its potential to participate in auxiliary grid peak-shaving and enhance new energy consumption in coordination with source load. Therefore, a hybrid energy storage load collaborative optimization scheduling method is proposed based on dynamic time zone partitioning. Firstly, based on the power imbalance between the source and load, a dynamic time zone division strategy is designed by considering the prediction error of new energy output and the demand side response, which guides hybrid energy storage to synergistically enhance the new energy consumption capacity and auxiliary peak shaving effect from the perspectives of electricity quantity and power at different day-ahead-intraday time scales. Secondly, with the goal of minimizing the total daily operating cost of the system, a system day ahead day rolling optimization scheduling model is constructed. Energy based energy storage provides peak shaving power support at the day ahead scale, while power based energy storage smooths out new energy fluctuations at the intraday scale. Rolling optimization is used to reduce system source load prediction errors, and an energy storage cycle life model is embedded to make the system scheduling results closer to actual operating conditions. Finally, the effectiveness and superiority of the proposed method in terms of economy, new energy consumption, and peak shaving effect are verified through numerical examples.