Optimal Scheduling Of Qiala Reservoir Based On Improved Particle Swarm Optimization Algorithm

Xinjiang is located in the inland arid area.Desert oasis and irrigated agriculture are its prominent characteristics.Water shortage is one of the main factors restricting the sustainable development of Xinjiang’s economy and society.Plain reservoir is close to irrigation area and convenient for irrigation water supply management,it plays an irreplaceable role in agricultural water supply in irrigation area.In view of the disadvantages of evaporation,leakage and sediment deposition in plain reservoirs,it is urgent to explore reasonable reservoir scheduling methods and improve the utilization efficiency of water resources in Xinjiang reservoir scheduling management.The purpose of this paper is to alleviate the shortage of irrigation water resources and the loss of reservoir water by optimizing reservoir operation.The main research methods and results are as follows:(1)Analysis of problems in reservoir operation.According to the operation and management of the reservoir over the years,the existing problems in the management of the Qiala Reservoir were analyzed.(2)Establishment and solution of reservoir optimal operation model.Based on the basic scheduling rules of the Qiala Reservoir,the idea of optimal scheduling of the Qiala Reservoir was put forward.With the objective of minimizing irrigation water shortage and reservoir loss,the optimal scheduling model of the Qiala Reservoir was established under the constraints of water balance and reservoir capacity.Particle swarm optimization(PSO)algorithm was improved by taking the sum of irrigation water shortage and reservoir loss as fitness function,adopting variable reservoir capacity coding,sifting the reservoir capacity process through water balance,and initializing the particle swarm using actual scheduling experience as heuristic information.And the simulated annealing algorithm was applied to improve the particle update operation,and the algorithm flow was designed to solve the optimal scheduling model of Qiala Reservoir.(3)Analysis of optimal operation results of Qiala Reservoir.According to the measured annual runoff series data of Qiala Reservoir from 2003 to 2017,three typical years were selected for reservoir operation research.The scheduling results show that the reservoir scheduling results in each typical year can minimize the water shortage in the downstream irrigation area.The water loss of the reservoir after optimal scheduling was less than that of the actual year,and the scheduling results could meet the actual requirements of the reservoir scheduling management.In addition,the improved particle swarm optimization algorithm could quickly converge to the optimal solution space and jump out of the local optimal solution,which shows that the algorithm has high computational performance in solving complex high-dimensional reservoir optimal scheduling model.The research results can be used as a reference for irrigation management units and water use departments,provide a basis for decision-making of water resources scheduling in irrigation areas,and effectively alleviate the contradiction between water supply in irrigation areas and water shortage in the lower reaches of the Tarim River.