基于天牛群优化算法的灌区渠系配水研究

Calculating Water Distribution in Irrigation Channel Networks Using the Beetle Swarm Optimization Algorithm

【目的】验证改进后的天牛群优化算法在渠系配水领域的科学性与适用性。【方法】以2020年大功灌区某次灌水过程为基础数据,以西一干渠干、支二级渠系输水过程中渗漏损失水量为优化目标,各渠道运行时间及下级支渠输水流量为决策变量,构建渠系配水模型,采用天牛群优化算法进行模型优化求解,并与天牛须搜索算法、粒子群算法等求解结果进行对比分析。【结果】采用天牛群优化算法求解得到的总配水量为391.85万m^(3),渗漏总水量为22.87万m^(3),配水总时间为7.30 d,相较于天牛须搜索算法计算的配水结果均有较大提升,与粒子群算法求解结果接近,但天牛群优化算法得出的渠系配水方案更为合理。【结论】改进后的天牛群优化算法能够较好满足灌区渠系水资源优化配置要求,为灌区水资源管理提供新的配水方法与科学建议。

【Objective】Optimizing water allocation to channel networks in irrigation districts can reduce water waste and help improve water use efficiency.This paper presents the application of a modified beetle swarm optimization algorithm to achieve this goal.【Method】The analysis was based on irrigation in 2020 at Dagong irrigation district.Reducing water losses from seepage in the channel network was taken as the optimization objective,and operating duration of each channel and water discharge to the low-order branches were taken as the decision variables.We constructed water distribution in the channel network and solved the optimization using the beetle swarm optimization algorithm.The results were compared with those obtained from the beetle antennae search algorithm and the particle swarm algorithm.【Result】The total water distribution calculated from the beetle swarm optimization algorithm is 3918500 m^(3),the total loss from leakage is 228700 m^(3),and the total water distribution time is 7.30 d.These are a great improvement compared with those obtained from the beetle antennae search algorithm,and close to the results calculated from the particle swarm algorithm.【Conclusion】The modified beetle swarm optimization algorithm is efficient and the results calculated by it meet the requirements for optimal allocation of water resources to channel network in irrigation district.It can be used to improve water management in irrigation districts and other areas.