作　　者： ; ; ; ;

机构地区： 云南农业大学水利水电与建筑学院

出　　处： 《水资源与水工程学报》 2009年第4期67-69,73,共4页

摘　　要： 针对云南省楚雄州蜻蛉河大型灌区水资源供需矛盾突出问题,将人工神经网络应用于水库调度,建立水库水位的BP模型。研究表明:模型能够反映水库调度中各要素间的相互联系和影响,具有较强的非线性映射能力,能反映出水库月末水位与影响因素(水库月初水位、来水量、出库水量)之间的复杂关系,具有较好的模拟精度。可利用该模型预测水库水位及水量变化,分析各要素间的联系与影响,为水库运行管理和优化调度提供决策依据。 For the obvious contradiction between water supply and demand issues in Yunnan Chuxiong State Qinglinghe large-scale irrigation area, the article applied artificial nerve network to the reservoir dispatcher, established the BP network model of the artificial nerve network （ANN）. The study shown that this model could reflect the relation and influence of various essential factors in the reservoir dispatch, had the well non-linear mapping ability, reflected the complex relations between the reservoir water level in end of the month with the influence factors （reservoir water level in beginning of the month, intake water volume, output water volume）, and had the better simulation precision. This model may forecast the changes of water level and water volume in the reservoir, analyze the relation and the influence of various essential factors, and provide the decision-making basis for the reservoir running management and optimization dispatch .

关 键 词： 灌区 水库调度 人工神经网络 网络模型

领　　域： [水利工程] [自动化与计算机技术] [自动化与计算机技术]