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灌溉配水优化模型旨在解决渠道各分水口运行时流量调度的最优组合方案,常规的轮灌分组模型只适用于分水口相同流量情况,且采用以小时为单位的各引水时段作为状态变量,变量多,求解不易。对于分水口的流量不相同的情况,提出了以引水开闸时刻和引水结束时刻作为优化变量,以灌溉期总流量保持恒定为目标函数的优化模型,该模型自然满足一次性引水约束条件。采用了多点交叉的改进遗传算法对该模型进行优化求解,提高了收敛速度,优化结果表明该优化模型及求解方法较好地解决了分水口非等流量的问题,具有普遍的适用意义。
Irrigation water distribution optimization model is designed to solve the optimal combination of flow scheduling of each channel when the channel runs. The conventional model is only applicable to the same flow rate of the water diversion channel, and adopts the water diversion period in hours as the state variable, Many variables, easy to solve. In the case of different water flow at the water diversion opening, an optimization model is proposed which takes the moment of water diversion opening and the end of water diversion as optimization variables and keeps the total flow in the irrigation period as objective function. This model naturally meets the one-time water diversion constraint. The improved genetic algorithm with multi-point crossover is used to optimize the model and the convergence speed is improved. The optimization results show that the optimization model and the solving method can well solve the problem of non-equal flow of water diversion port, which is of universal significance.