Analysis Of Combined Operation Method Of Cascade Sluice And Dam Based On Optimization Algorithm

With the continuous development of urban water resources development and utilization and urban water ecological governance technologies,more and more low-head water-blocking structures such as rubber dams,hydraulic dams,and flood gates have been extensively built in urban rivers to form a broad and flat surface.Water storage surface,these sluice dams not only beautify the internal landscape of the city,but also improve the urban area ecology.However,with the increase of water retaining structures on urban rivers,the overall water storage capacity has increased,and the flood control of multi-stage sluice dams has been highlighted.Before the flood occurs,how to drain the reservoirs in a relatively short period of time to accommodate flooding and ensure Downstream river safety is a complex scheduling optimization problem.If the design of the scheduling scheme is unreasonable,flooding may be superimposed,resulting in "man-made flood peaks" that endanger the safety of urban flood control.At present,in the research of joint scheduling optimization of urban river cascade rubber dams and gates,the optimization scheme is often determined by enumeration or trial algorithm,which not only has low computational efficiency,but also has high time and cost,and has limited accuracy.Therefore,based on the study of the discharge characteristics of cascade rubber dams and sluice gates,this paper uses particle swarm optimization(PSO)algorithm,genetic algorithm(GA)algorithm and improved genetic algorithm(IAGA)and other optimization algorithms to analyze and calculate the Taihe city section of Luohe River.The optimal scheduling of engineering problems,and the stability of the above algorithms are discussed.The research content and achievements are as follows:(1)The rubber dam and gate joint dispatching and discharge process,according to the principle of water balance,adopts a time-by-period calculation method,and the dams at all levels are cascaded upstream and downstream in order to control the overall scheduling process of the cascade dams and adopt them.The C/C++ language compiles the joint scheduler to calculate it.The discharge process of the rubber dam is calculated according to the wide top enthalpy;the discharge flow of the radial sluice is based on the opening degree of the sluice gate and the upstream water level,and the sluice flow is calculated according to the sluice outlet and the top sill width.(2)According to the discharge rules of multi-stage dams,the shortest total capacity TM of the integrated sluice dumping reservoir is established as the objective function,and the discharge start time Tb1,Tb2,...Tb9,which is a control variable,uses flow constraints and water level constraints as the control conditions,uses an enumeration test algorithm to calculate,and solves a four-stage rubber dam joint optimal scheduling scheme.(3)Introduce the basic optimization algorithm and intelligent optimization algorithm,and conduct detailed research and analysis on the PSO particle swarm algorithm and GA algorithm,analyze the operation theory and operation principle of the GA algorithm and the PSO algorithm,and verify the Schaffer function by Intelligent algorithms are tested and compared to analyze their respective advantages and disadvantages.(4)Based on the basic genetic algorithm and particle swarm algorithm analysis and research,in order to improve the computational efficiency and optimization accuracy of the algorithm,this paper introduces improved roulette method selection operator and adaptive crossover operator in genetic algorithm.Combining some of the advantages of the PSO algorithm,the PSO mutation operator and the population segmentation strategy are introduced to form an improved genetic algorithm(IAGA)which is mixed with the PSO algorithm,and its operating principles and steps are described in detail.(5)Select the comprehensive management and beautification project of Taiyuan Town,Weihe,Shanxi Province as an example.In the first and second phases of the project,7 rubber dams have been built.In the third phase of the project,2 gates are pre-established.Based on the initial enumeration method,PSO algorithm,GA algorithm and IAGA algorithm,according to the established model,the algorithm running procedures were compiled on the C/C++ platform,and the joint scheduling of the cascade dams was solved.According to the obtained program and data,compare and analyze the advantages and disadvantages of each algorithm.(6)For the specific engineering problems in this paper,the basic enumeration method,particle swarm optimization algorithm,genetic algorithm and improved genetic algorithm can solve the joint scheduling and drainage problem of cascade dams,and the joint scheduling scheme can be solved stably.(7)The improved genetic algorithm can process multiple local peaks of the objective function in parallel and reduce the possibility of the algorithm falling into local convergence.At the same time,the algorithm has high search speed and high convergence accuracy,which is superior to other algorithms.