基于监测数据的水力发电系统人工神经网络建模  

Monitoring data based artificial neural network modeling of hydropower generation system

作　　者：赵林明[1] 杨海燕[1] 贾树枝 贲国雄 

机构地区：[1]河北工程大学,河北邯郸056021 [2]桂龙水电有限公司,广西宜州546300

出　　处：《水利水电技术》2011年第1期73-75,共3页Water Resources and Hydropower Engineering

摘　　要：将引水管路、水轮机、发电机作为一个整体的水力发电系统,并在现场监测数据的基础上,应用人工神经网络方法,建立了该系统的输入输出数学模型。与实际的监测数据进行对比分析表明,所建立的人工神经网络模型具有较高的计算精度,能够用于开发水电站中水轮发电机组的优化运行系统。Taking the water diversion pipeline, hydraulic turbine and hydropower generator as a whole hydropower generation system, the input and output model of the hydropower system is established with the method of the artificial neural network on the basis of the in-situ monitoring data. The comparison analysis between the calculated and the measured data shows that the proposed artificial neural network model has higher accuracy and can be used to optimize the operation of the hydropower generation unit of hydropower station.

关 键 词：水电站 水轮发电机组 人工神经网络 

分 类 号：TV737[水利工程—水利水电工程] TP277[自动化与计算机技术—检测技术与自动化装置]