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基于改进PSO-GWO算法的渠系优化配水模型研究

姚成宝 岳春芳 张胜江 郑秋丽

人民黄河2025,Vol.47Issue(1):128-133,6.
人民黄河2025,Vol.47Issue(1):128-133,6.DOI:10.3969/j.issn.1000-1379.2025.01.021

基于改进PSO-GWO算法的渠系优化配水模型研究

Research on Optimal Water Distribution Model of Canal System Based on Improved PSO-GWO Algorithm

姚成宝 1岳春芳 1张胜江 2郑秋丽1

作者信息

  • 1. 新疆农业大学,新疆 乌鲁木齐 830052
  • 2. 新疆水利水电科学研究院,新疆 乌鲁木齐 830049
  • 折叠

摘要

Abstract

In order to reduce the water loss in the process of water distribution in the canal system and in response to the issues of different gate regulation times and frequent opening and closing,the paper established a water distribution model of Tuanjie Branch canal in Jinghe ir-rigation area with the aim of minimizing the leakage loss of the two-stage canal system.It adopted the water distribution method of"inter-group rotational irrigation and intra-group continuous irrigation"for the first time,and solved the objective function by improved PSO-GWO algorithm,so as to determine the optimal rotation irrigation group,water distribution flow,and irrigation time and other important parameters of the branch canal,and obtained the leakage loss of the canal system and the number of iterations of the algorithm,then compared the re-sults with those of the particle swarm algorithm and the gray wolf algorithm.The improved model had shortened the irrigation time 0.62 days,increased the water utilization coefficient of the two-level canal system by 0.168,improved the iteration times of the PSO-GWO algorithm by 3 times,and reduced the total amount of canal leakage by 166 900 cubic meters,which was better than the water distribution results of the tra-ditional algorithm.The results show that the improved algorithm has stronger optimization ability and convergence,and the model can meet the requirements of high efficiency water distribution,reduce the number of gates opening and closing,realize centralized regulation and con-venient water distribution mode,which has high application value.

关键词

渠系配水/渗漏损失/轮灌编组/改进PSO-GWO算法/粒子群算法/灰狼算法

Key words

water distribution in channel system/water seepage/rotation irrigation group/improved PSO-GWO algorithm/particle swarm optimization/grey wolf algorithm

分类

农业科技

引用本文复制引用

姚成宝,岳春芳,张胜江,郑秋丽..基于改进PSO-GWO算法的渠系优化配水模型研究[J].人民黄河,2025,47(1):128-133,6.

基金项目

新疆维吾尔自治区重大科技专项(2022A02003-5) (2022A02003-5)

人民黄河

OA北大核心

1000-1379

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