Abstract
For reservoirs with combined storage capacity for flood control and beneficial purposes, there tends to be potential benefit loss when the flood control limited water level is used in medium and small floods. How to find the optimal water level scheme for profit-making and pursue the optimization of comprehensive benefits has always been a difficult problem in multi-objective reservoir optimal operation. Based on the principle of the maximum benefit obtained by the product conversion curve and the isorevenue line in microeconomics, taking flood control and power generation as two products of a reservoir, a multi-objective optimal operation scheme decision-making model is established to seek the highest water level scheme that can produce the maximum comprehensive benefits of flood control and power generation. A case study of the Three Gorges reservoir in the early flood season of a dry year shows that on the one hand, under the condition of deterministic inflow, the model can work out the optimal water level and the corresponding best equilibrium point for both flood control and power generation, and it can increase the total power output by 4.48% without reducing the flood control benefits; on the other hand, it can also obtain the dynamic control area of the maximum allowable water level for power generation considering inflow forecast error, which provides a theoretical reference for determining the starting water level in medium and small floods and utilizing flood resources.
Highlights
Multi-objective reservoir optimal operation generally considers the benefits of multiple objectives such as flood control, power generation, and water supply, which are neither completely conflicting nor coordinated [1]
Due to the existence of forecast error, in the multi-objective reservoir optimal operation based on forecast runoff, each objective benefit may have a certain degree of uncertainty, which is a multidimensional, continuous, and nonlinear optimization problem, aggravating the difficulty of operation decision making [5]
Taking the maximum allowable water level for power generation in the early flood season as the key decision variable, this paper focuses on the analysis of the mutual feedback response relationship between the two objectives
Summary
Multi-objective reservoir optimal operation generally considers the benefits of multiple objectives such as flood control, power generation, and water supply, which are neither completely conflicting nor coordinated [1]. The MRT method can avoid the common uncertainty in previous multi-objective evaluation methods due to the influence of subjective factors, and it can work out the best equilibrium solution of the benefit combinations of flood control and power generation This method is applied to the multi-objective optimal operation scheme decision making under the condition of uncertain inflow. The optimal scheme is consistent with the actual runoff process, which can provide reference and guidance for the actual reservoir operation
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