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杨祖强, 罗 希, 王文文.基于改进型多目标遗传算法的含气水锤防护方案优化研究水资源与水工程学报[J].,2014,25(1):200-204
基于改进型多目标遗传算法的含气水锤防护方案优化研究
Research on program optimization of gas-containing water hammer protection based on genetic algorithm of improved multi-objective
  
DOI:10.11705/j.issn.1672-643X.2014.01.044
中文关键词:  泵站  停泵水力过渡过程  改进型多目标遗传算法  水锤防护
英文关键词:pumping station  process hydraulic transient of pump-stopping  multi-objective genetic algorithm of improved type  water hammer protection
基金项目:
作者单位
杨祖强1, 罗 希1, 王文文2 (1.中工武大设计研究有限公司武汉 430072 2.海市青浦区水务局上海 201715) 
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中文摘要:
      阐述了气液两相流长距离输水系统停泵水力过渡过程的特点,对水锤防护效果影响因素进行分析,采用反问题分析法,以惯性飞轮转动惯量、进排气阀口径、单向调压塔参数及出口阀的关闭程序参数作为决策变量,以特征线法为基础,以最大水锤压力值最小和工程投资最低作为目标函数,建立数学优化模型,并采用改进型多目标遗传算法(MOGAs)对优化模型求解。工程应用表明:本数值模拟方法能得出最经济、可靠的水锤防护方案,为长距离输水系统水锤防护方案确定提供了一种新的思路。
英文摘要:
      The paper expounded the characteristics of the pump-stopping hydraulic transient of a long-distance water supply system of gas-liquid two-phase flow and analyzed the main influence factors of the water hammer protection. By using an analysis method of inverse problem, taking the inertia flywheel rotational inertia, the inlet and exhaust valve diameter, one-way pressure regulating tower parameters and closing procedure parameters as decision variables, taking a characteristic line method as the basis, and taking the minimum of maximum water hammer pressure value and the lowest project investment as objective functions, the paper established a mathematical optimization model. The improved multi-objective genetic algorithm (MOGAs) was used to solve the optimization model. The application of a specific project shows that the most economical and reliable program of water hammer protection is acquired by using the numerical simulation method,witch can offered a new idea for the determination of water hammer protection program of long distance water supply system.
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