摘要
针对目前多数灌区灌溉渠系优化配水模型存在的问题,结合青铜峡南支渠灌区的实际情况,拟建立以最小渠系输水损失为目标的两级灌溉渠系优化配水模型。研究方法基于实数编码的加速遗传算法,并利用MATLAB进行编程求解。结果表明该模型及算法所确定的配水方案能满足上、下级渠道的配水流量和轮期的要求,整个渠系配水时间减少了20 h,实现了大流量短历时配水,且上级渠道第1断面(首断面)配水流量较均匀,减少了闸门调节次数,有效地减少了水量损失,符合优化配水的原则,可为渠系优化配水决策提供理论及技术支持。
Focusing on the problem of water distribution optimization model for the existing irrigation canal,we developed a new optimal water distribution model based on unequal discharges in lateral canals and difference cross sections in branch canal according to the actual situation of irrigation areas.Accelerating Genetic Algorithm(PAGA)based on real-coded was proposed,on this basis the optimization scheme could be obtained through the mix of application of the Matlab program design and Excel table data processing.Application results show that the optimal water process determined by the model and algorithm in this paper can realize optimization of water distribution,and the water distribution time of the lower channels is reasonable,which can meet the requirements of water distribution flow and the rotation irrigation cycle,at the same time,the branch water distribution is homogeneous,which is very helpful for reducing the number of gate adjustment.
作者
刘叶
殷国玺
LIU Ye;YIN Guoxi(Huizhou Huayu Hydropower Engineering Reconnaissance Design Co.,Ltd.,Huizhou,Guangdong 516000,China;College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing,Jiangsu 210098,China)
出处
《水利与建筑工程学报》
2019年第2期239-244,共6页
Journal of Water Resources and Architectural Engineering
关键词
灌溉渠系
优化配水模型
遗传算法
适应度函数
irrigation canal system
optimal water distribution model
accelerating genetic algorithm
fitness function