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稳态遗传算法在给水管网状态及参数估计中的应用
作者姓名:臧金双  黄廷林
作者单位:西安建筑科技大学,环境与市政工程学院,陕西,西安,710055
基金项目:西安市科技攻关计划项目(GG06200); 陕西省自然科学基金项目(2003E221)
摘    要:针对给水管网水力建模过程中如何提高节点流量及管道摩阻系数的准确性,提出利用稳态遗传算法对给水管网系统进行状态及参数估计,给出给水管网状态及参数估计的数学模型及利用稳态遗传算法求解该模型的具体方法步骤;根据管网运行工况实时模拟的需要,采用系统类聚法确定监测点的分布与数量,并用实验管网对模型及计算方法进行了验证.计算结果表明,该模型正确可行,采用的求解方法具有很好的精度及较快的收敛速度.

关 键 词:稳态遗传算法  状态估计  参数估计  系统类聚

Application of Steady State GA in state and parameter estimation of water supply network
Authors:Zang Jinshuang  Huang Tinglin
Affiliation:Zang Jinshuang,Huang Tinglin(School of Environmental , Municipal Engineering,Xi\'an University of Architecture & Technology,Xi\'an 710055,China)
Abstract:In order to enhance the accuracy of node flow and pipe friction coefficient in the process of water supply network modeling,a Steady State GA was introduced to make state and parameter estimation for water supply network system.A mathematical model for state and parameter estimation of water supply network was built,and some specific methods and steps solving the model with the Steady State GA were put forward.According to the demand for real-time simulation of operation condition in water supply network,di...
Keywords:Steady State GA  state estimation  parameter estimation  system clustering  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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