Optimal water allocation method based on the genetic algorithm for a system of a reservoir and two pumping stations

The subtropical monsoon climate zone is featured with the abundant water resources but uneven temporal and spatial distribution, so seasonal water shortages are frequent. In order to reduce the water shortage and water spill in this region, a nonlinear optimization model for the joint operation of a system of a reservoir and two pumping stations is developed in this paper. In this model, the water supply of reservoir and pumping volume of pumping stations in each period are two types of decision variables, which are subjected to the annual available water in the reservoir, water rights of the two pumping stations and the operation rule of reservoir. However, the modern intelligent algorithms may fail in dealing with constraints of if statements like the operation rule of reservoir in this model. In light of the shortcoming of the classical genetic algorithm, a modified genetic algorithm is proposed by comparing the different methods for dealing with constraints. The modified algorithm showed a better adaptability to the operation rule. The modified genetic algorithm may provide a reference for similar modern intelligent algorithms to solve optimal water resources allocation for multiple reservoirs and multiple pumping stations system.