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论文摘要

基于回溯搜索算法的灌区优化配水模型

Optimized Water Distribution Model of Irrigation District Based on the Backtracking Search Algorithm

作者:韩宇(中国农业大学 水利与土木工程学院,北京 100083);孙志鹏(中国农业大学 水利与土木工程学院,北京 100083);黄睿(中国农业大学 信息与电气工程学院,北京 100083);郭珊珊(中国农业大学 水利与土木工程学院,北京 100083);易康(中国农业大学 信息与电气工程学院,北京 100083);陈建(中国农业大学 工学院,北京 100083)

Author:HAN Yu(College of Water Resources & Civil Eng., China Agricultural Univ., Beijing 100083, China);SUN Zhipeng(College of Water Resources & Civil Eng., China Agricultural Univ., Beijing 100083, China);HUANG Rui(College of Info. and Electrical Eng., China Agricultural Univ., Beijing 100083, China);GUO Shanshan(College of Water Resources & Civil Eng., China Agricultural Univ., Beijing 100083, China);YI Kang(College of Info. and Electrical Eng., China Agricultural Univ., Beijing 100083, China);CHEN Jian(College of Eng., China Agricultural Univ., Beijing 100083, China)

收稿日期:2019-03-06          年卷(期)页码:2020,52(1):29-37

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:渠系配水;回溯搜索算法;向量评估遗传算法;粒子群算法

Key words:irrigation water distribution;backtracking search algorithm;vector evaluation genetic algorithm;particle swarm optimization

基金项目:国家重点研发计划项目(2016YFC0400207;2017YFD0701003);国家自然科学基金面上项目(51979275);中央高校基本科研业务费(10710301;1071-31051012;1071-31051361;2019TC108)

中文摘要

随着西北大型灌区水资源供需矛盾日益加剧,粮食生产安全逐渐存在重大威胁,传统优化渠系配水模型主要基于目标函数对作物需水量进行优化配置,而目标函数参数及约束条件较为复杂,难以实现全局优化配水。本文以黑河流域西浚灌区西洞渠系为例,采用“定流量,控开启”原则,在干渠设计流量恒定条件下,以剩余流量最小原则建立回溯搜索算法优化配水方程,通过回溯搜索算法求解下级渠道阀门开启及关闭配水时间图,并进一步求得阀门控制时间点偏态系数,同时将所得结果与向量评估遗传算法、粒子群算法的配水时间、阀门时间控制偏离程度进行比较,在此基础上结合小河站渠系弃水情况评估模型适应性。结果显示:回溯搜索算法、向量评估遗传算法、粒子群算法配水时间分别为12.70、14.38和15.50 d,阀门开启时间点偏态系数分别为0.093、0.328、0.217,相比回溯搜索算法配水模型具有明显的时间优越性及稳定性;回溯搜索算法在渠系水利用率较低的西洞渠系弃水为零,而在渠系水利用率较高的小河站渠系弃水现象严重,该算法普遍适用于渠系水利用率较低地区。利用回溯搜索算法对灌区进行优化配水,在合理适用条件下,不仅能够保证灌溉时间较优,满足渠系灌溉制度要求,而且能够维持流体输送相对稳定性,达到渠系优化配水目的。

英文摘要

With the increasing contradiction between water resources supply and demand in large irrigation areas in northwest China, grain production security gradually faces a serious threat. The traditional optimal irrigation water distribution models are mainly based on the objective function to optimize the allocation of crop water requirement, but the parameters and constraints of the objective function are more complex, which makes it nearly impossible to achieve the global optimal water distribution. This paper took the Xijun irrigation area of Heihe River basin as an example, on the basis of the principle of “based on constant flow discharge to control sluice gate” to study. It is possible to propose a backtracking search algorithm (BSA) to optimize water distribution model of irrigation district. BSA aims to choose different groups of branch canals under the constant flow rate of the main canal to ensure all branch canals can satisfy irrigation requirements. The irrigation water distribution time diagram of the branch canals was solved by backtracking search method, and the skewness coefficient of the sluice gate control time point was further obtained. In addition, the results of vector evaluation genetic algorithm (VEGA) and particle swarm optimization (PSO) were used to compare with BSA, and the adaptability of BSA was evaluated by analyzing the canal system of Xiaohe station. This study showed that the irrigation water distribution time of BSA, VEGA and PSO was 12.70 days, 14.38 days and 15.50 days respectively, the minimum deviation coefficient of BSA valve opening time point was 0.093, so BSA water distribution model had obvious superiority and stability. Besides, Xidong canal system, the water utilization rate of 0.651, had zero abandoned water, while Xiaohe station, with a high water utilization rate, had serious abandoned water, so BSA was generally applicable to areas with a lower water utilization rate of canal system. Under the reasonable application conditions, using BSA to optimize water distribution in irrigation area is able to not only guarantee better irrigation time to meet the requirements of canal system irrigation system, but also maintain the relative stability of fluid transportation to achieve the purpose of irrigation water distribution optimization.

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