基于改进灰狼优化算法的供水管网压力漏失调控优化研究

Optimization research on pressure leakage regulation and control of water distribution network based on improved gray wolf optimization algorithm

针对城市配水系统漏失控制的技术难题,以北方某城市CY区的大中型管网为研究对象,综合分析管网中各节点、管道、泵站及减压阀的水力特性,提出了阀门泵站一体的压力控制模型,以优化管网冗余压力和降低管网漏损率为目标,利用夜间最小流量法进行管网漏失量的分析计算。针对初代灰狼优化算法存在的种群多样性不足和容易陷入局部收敛的缺陷,调整了线性收敛因子的计算并对三只引导狼的权重进行自适应分配,同时引入基于维度学习的狩猎搜索策略对其进行改进,进而将其运用到实际工程的寻优计算中,得出减压阀和变速泵的最优调控方案。通过选取典型时段进行管网工况运行分析,结果证明提出的方案对于降低冗余压力和控制漏失具有显著作用。

Aiming at the technical problems of leakage control of urban water distribution system,a large and medium-sized pipe network in CY area of a northern city is taken as the research object,and the hydraulic characteristics of each node,pipe,pump station and pressure reducing valve in the pipe network are comprehensively analyzed,and a pressure control model with integrated valve and pump station is proposed to optimize the redundant pressure of the pipe network and reduce the leakage rate of the pipe network,and the analysis and calculation of the leakage amount of the pipe network is carried out by using the nighttime minimum flow method.To address the shortcomings of insufficient population diversity and easy to fall into local convergence of the initial gray wolf optimization algorithm,the calculation of the linear convergence factor and the adaptive assignment of the weights of the three guiding wolves are adjusted,and the hunting search strategy based on dimensional learning is introduced to improve it,and then it is applied to the optimization search calculation of the actual project,and the optimal regulation scheme of the pressure reducing valve and variable speed pump is derived.The results demonstrate that the proposed scheme has a significant effect on reducing redundant pressure and controlling leakage by selecting typical time periods for operating analysis of the pipeline network conditions.