The Minimum Abandoned Water Optimization Model of Reservoir and Its Application

Abstract

The traditional control way of reservoir results in a large number of “abandoned water” during annual flood season, and it is possible that there is not always enough water for reservoir storing to maximal beneficial cubage after flood season. Responding to this case, this paper established the minimum abandoned water optimization model of reservoir based on risk analysis. There are two characters in this model: system has more relevancies and nonlinear. As the optimization model has aforementioned characters, this paper use particle swarm optimization method (PSO) to solve the model. In order to improve the convergence problem of PSO, combines PSO with simulating anneal arithmetic (SAA), that is, using particle swarm-simulating anneal arithmetic (P-S) to deal with the constraints in the model. Apply the model to the North Xing Jia reservoir in Yantai City, Shandong Province as an example. The result shows that it can increase markedly the use of water resources of this reservoir, which is of great use for improving the utilization of surface water resources in the north area of China.