针对金沙江—雅砻江梯级多业主水电站群联合调度补偿效益问题,建立了大规模混联水电站群联合优化调度模型,并提出离散微分动态规划(DDDP)和逐步优化算法(POA)相结合的自适应混合方法,实现大规模混联水电站群联合优化调度问题的高效求解。在此基础上,结合金沙江流域长系列历史径流资料,进行了不同建设运行和联合调度情景下梯级电站调度模拟,探究了金沙江中游梯级和雅砻江下游梯级的建设运行及联合调度对金沙江下游梯级的补偿作用。结果表明,金沙江中游梯级和雅砻江下游梯级建设运行可以增加金沙江下游梯级165.36×108kW·h的发电量;雅砻江下游梯级和金沙江下游梯级联合调度可增加梯级总发电量24.79×108kW·h,而金沙江中游梯级受较大保证出力的限制联合调度效益不够显著,可以通过降低其梯级保证出力,以便有效提高联合调度的补偿效益。 Aiming at the benefit of joint dispatch and compensation of cascade multi-owner hydropower stations in Jinshajiang-Yalong River, a combined optimal dispatch model for large hydropower stations is established and the combination of discrete-time differential dynamic programming (DDDP) and stepwise optimization (POA) is proposed Adaptive hybrid method to solve the problem of joint optimization of large scale hydropower stations. On this basis, combined with the long series of historical runoff data of Jinsha River, the simulation of cascade hydropower station under different construction operation and joint dispatching scenarios was carried out. The construction and operation of the cascade in the middle reaches of the Jinsha River and the downstream of Yalong River and the joint dispatch of Jinsha The role of the river downstream cascade compensation. The results show that the rung of the middle reaches of the Jinsha River and the rung of the lower reaches of the Yalong River can increase the generation of 165.36 × 108kW · h in the lower reaches of the Jinsha River. The combined rung of the lower reaches of the Yalong River and the lower reaches of the Jinsha River can increase the total staged power generation by 24.79 × 108kW · h, while the Jinshajiang cascade by the larger guaranteed output constraints joint scheduling benefit is not significant enough, you can reduce its rung to ensure that in order to effectively improve the joint dispatch compensation benefits.