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目前国内外现有的渠道优化配水模型,都是在下级渠道配水流量相等这一假定条件的基础上建立的,这与绝大多数渠系实际配水要求不相符合。针对这一问题,建立了下级渠道引水流量不等情况下的渠道优化配水模型,研究了模型的遗传算法的编码及适应度设计方法,编制了VC程序,并用于冯家山灌区北干十一支共24条斗渠道的实际配水过程中进行了对比验证。结果表明,渠系优化配水过程较原配水过程斗渠配水时间搭配合理、支渠配水流量均匀,符合优化配水原则,渠系渗透损失水量比原方案可减少17.8%。表明模型及其求解算法是可行的,可为下级引水渠道流量不等时的渠系优化配水决策提供理论和技术支持。
At present, the existing channel optimization distribution models at home and abroad are all based on the assumption that the distribution of water flow in the lower channels is equal, which is inconsistent with the actual water distribution requirements of the vast majority of canal systems. In order to solve this problem, a channel optimization distribution model with sub-channel diversion flow rate was established. The genetic algorithm coding and fitness design method were studied. The VC program was compiled and applied to eleven stems of north of Fengjiashan irrigation area A total of 24 channels fighting the actual water distribution process compared to verify. The results show that the optimal water distribution process of canal system is more reasonable than that of the original water distribution process and the distribution flow of branch canal is even, which is consistent with the principle of optimal distribution of water. The amount of water loss through canal system can be reduced by 17.8% compared with the original scheme. It is shown that the model and its solution algorithm are feasible and can provide theoretical and technical support for the decision of optimal water distribution in canal systems with different flow rates of lower diversion channels.