Reservoir scheduling risk group decision-making method under incomplete information condition

Abstract

The invention discloses a reservoir scheduling risk group decision-making method under an incomplete information condition. The method comprises the steps of building a reservoir scheduling multi-objective optimization scheduling model, and obtaining a non-inferior scheme set; quantizing the uncertainty of all scheme index values, and establishing a random decision matrix; deducing a feasible weight space under the incomplete information condition; building a risk group decision-making model based on a random non-inferior and inferior solution distance; and quantitatively evaluating the uncertainty of a risk group decision-making result. According to the method, preference information of all decision makers can be effectively fused, so that information loss is avoided; the influence of double uncertainty of the index values and index weights is considered at the same time, and the uncertainty of the group decision-making result is quantitatively evaluated, so that the decision-making mistake risk is lowered; important risk information can be provided for the decision makers in a random environment, so that the reliability of reservoir scheduling risk group decision-making is improved; and the method has higher calculation efficiency, robustness and universality.

Description

Technical field [0001] The invention relates to a reservoir dispatch group decision-making method, in particular to a reservoir dispatch risk group decision-making method under incomplete information conditions. Background technique [0002] Reservoir operation is a complex decision-making process with multiple goals, multiple levels, multiple stages and multiple attributes, which is closely related to factors such as society, nature, economy, environment, and ecology. At the same time, reservoir dispatching is a non-repeatable real-time dynamic correction process. Therefore, making reasonable reservoir dispatching decisions is of great significance to the safe operation of large-scale reservoirs, gates, dams, flood storage areas, and flood diversion channels. [0003] Reservoir dispatching is a typical group decision problem under the condition of uncertainty and incomplete information. In the dispatching process, it is necessary to consider the safety of the reservoir itself and ...

AI Technical Summary

Problems solved by technology

Existing group decision-making methods generally lack flexibility, poor robustness, and low reliability, and do not consider the risk information of group decision-making results, which directly affects the scientificity and effectiveness of reservoir scheduling decisions

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