Optimal Design of Reservoir Seasonal Flood Control Level by Using Multi-objective Genetic Algorithm
用多目标遗传算法优化设计水库分期汛限水位

The seasonal flood control level(FCL),which the storage allocation for flood control is varied seasonally,can be adopted to obtain more benefits under the condition of flood standard unchanged when the flood season is divided into several sub-seasons.For given design flood standards,the seasonal FCL isn't unique and should be determined optimally.With the constraints of the seasonal FCL risk less than the risk of current annual FCL,an optimal seasonal FCL model was developed based on simulation of the historical data.This optimal model is to maximize the beneficial use and to minimize the flood risk simultaneously.A modified multi-objective Genetic Algorithm with mixed integer-programming method was used to optimize the FCL for the Three Gorges Reservoir(TGR) and yielded a set of Pareto solutions.The application results indicate that the optimized model can make an effective tradeoff between the flood control,power generation and navigation,and enhance water resources utilization ratio as well as the economic benefit of the TGR.