![]() In view of this, this paper takes the overyear regulation reservoir in a cascade system as the research target and studies the construction and optimization problem of the dynamic control bound of the yearly drawdown level. studied the year-end water level problem by using two prediction methods, which were a multi-objective decision model and a statistical regression predictive function, and compared their advantages and application conditions. developed an operational model to calculate the optimal year-end water level of the Longyangxia reservoir and analyzed the impacts of the runoff and year-start water level on the year-end water level. used a data-mining technique to identify the operational rules of the year-end level for a cascade reservoir system and presented an operational model of a decision tree based on the iterative dichotomizer 3 algorithm. For example, Yuan and Wang established an optimal model to simulate the year-end water level of a multi-year regulating reservoir based on a co-evolution differential evolution algorithm, and the model was validated using the case of the Wujiang cascade reservoirs. To date, the research on the scheduling mode of overyear regulation reservoirs has mainly focused on the determination of an optimal yearly drawdown level. In addition, compared with the traditional fixed-yearly-drawdown-level control mode, the proposed dynamic control method can consider the interannual difference of inflow, which can increase the total power generation of the cascade system by more than 94 billion kWh at maximum and realize 63.4%~76.3% of the benefits of the lifting space of yearly drawdown level optimization. It is found that the dynamic control bound constructed by the selected inflow series has little impact on the fluctuation of scheduling results and can well cope with the impact of inflow uncertainty on the scheduling results. Based on a long series of historical inflows, the simulation calculation and detailed comparative analysis are carried out. In case study, the seven reservoirs of the Yalong River are used as the research object, the proposed dynamic control method is verified by a detailed case study, and yearly drawdown level dynamic control bounds of the Lianghekou reservoir under two inflow series are constructed. An innovative dynamic control method has been put forward, and the corresponding technical route is provided. Based on the joint scheduling model of cascade reservoirs and a dynamic programming (DP) algorithm, this paper studies the optimal control of the yearly drawdown level of an overyear regulation reservoir considering the influence of inflow uncertainty.
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