【目的】在“中长期-现货”市场背景下，含混蓄电站清洁能源发电商面临检修安排和现货市场风险共同压缩盈利空间的问题。为此，充分挖掘混蓄电站的调节能力，提出一种考虑中长期水位动态调整的含混蓄电站清洁能源发电商多时间尺度滚动调度方法。【方法】上层模拟年度中长期市场，以周为优化调度时间尺度，考虑剩余合同电量和机组检修安排，以清洁能源发电商剩余调度期综合收益最大为目标，确定周合同电量、现货电量、检修计划和周末指导水位；下层模拟周内现货市场，以小时为优化调度时间尺度，根据上层调度计划确定的边界，考虑风电出力和来水不确定性，基于条件风险价值，以周内售电综合收益最大为目标，优化周内申报曲线与混蓄电站周末水位；下层将实际合同完成量、周末实际水位、已执行检修状态反馈至后续调度周期，用于进一步修正剩余合同电量、周末指导水位和剩余检修任务。【结果】算例结果表明，三类调度情景均能够满足年度合同履约要求；与固定检修计划和固定周末指导水位的传统静态调度方法相比，所提方法的现货完成电量提高10.23%，净收益提高6.57%。【结论】所提方法能够通过周末指导水位滚动修正改善中长期计划与周内现货市场运行之间的水位衔接关系，并通过检修窗口滚动优化减少高价值运行周段的容量损失，提升含混蓄电站清洁能源发电商的现货市场发电支撑能力和收益水平。

[Objective] In the context of coordinated medium- and long-term and spot electricity markets， clean energy producers with hybrid pumped-storage plants face the challenge that maintenance arrangements and spot market risks jointly compress their profit margins. To fully exploit the regulation capability of hybrid pumped-storage plants， a multi-time-scale rolling scheduling method for clean energy producers with hybrid pumped storage considering the dynamic adjustment of medium- and long-term water levels is proposed. [Methods] The upper-level model simulated the annual medium- and long-term market and took the week as the optimization time scale. Considering the remaining contract energy and unit maintenance arrangements， it maximized the comprehensive revenue of the clean energy producer over the remaining scheduling horizon， determining weekly contract energy， spot energy， maintenance plans， and weekly terminal reference water levels. The lower-level model simulated the intra-week spot market with an hourly optimization time scale. Based on the boundaries determined by the upper-level scheduling plan， wind power output and inflow uncertainties were considered， and conditional value-at-risk was introduced to maximize the comprehensive intra-week electricity sales revenue， thereby optimizing the intra-week bidding curve and the terminal water level of the hybrid pumped-storage plant. The actual contract completion， actual terminal water level， and executed maintenance status obtained from the lower-level model were fed back to subsequent rolling periods to update the remaining contract energy， weekly terminal reference water levels， and remaining maintenance tasks. [Results] Case-study results show that all three scheduling scenarios satisfy annual contract fulfillment requirement. Compared with the traditional static scheduling method with fixed maintenance plans and fixed weekly terminal reference water levels， the proposed method increases spot energy completion by 10.23% and net revenue by 6.57%. [Conclusions] The proposed method improves the water-level coordination between medium- and long-term scheduling plans and intra-week spot market operation through the rolling correction of weekly terminal reference water levels. Furthermore， it reduces capacity losses in high-value operating weeks through the rolling optimization of maintenance windows， thereby enhancing the spot-market generation support capability and revenue level of clean energy producers with hybrid pumped storage.