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机构地区:[1]武汉大学动力与机械学院,湖北武汉430072 [2]武昌理工学院信息工程学院,湖北武汉430223
出 处:《水电能源科学》2015年第2期182-186,共5页Water Resources and Power
基 金:国家自然科学基金项目(51179135)
摘 要:针对带长引水道抽水蓄能机组调节系统非线性建模过程中存在的问题,采用分段建模原理建立长引水系统模型,引入RBF神经网络模型对水泵水轮机全特性曲线的发电工况区进行非线性逼近,在其S特性区充分取点,设定合理的目标精度进行训练,得到能反映S特性的水泵水轮机模型,并进行了空载频率扰动和增减负荷试验。仿真结果表明,所建模型在一定程度上反映了实际机组特性,由此基于LabWindows/CVI虚拟仪器开发软件,应用ActiveX交互技术实现仿真平台与MATLAB的通信,开发了所建模型相应的仿真平台,为研究人员和现场运行维护人员进行仿真测试提供了一种友好的人机交互仿真环境,可为同类仿真平台的开发提供参考。Aiming at the difficulty of nonlinear modeling of regulating system of pumped storage units with long diversion conduit,piecewise modeling method is proposed for the mathematical model of long diversion system.And the RBF neural network model is used to approach the nonlinear characteristics of the generating condition based on the model characteristic curve of pump turbine.Getting enough points of the‘S characteristic area'and setting reasonable accuracy goals for training,we get the pump turbine model which can reflect the‘S characteristic'.At the same time,frequency disturbance transient are simulated under no-load condition and the increase or decrease of load.Simulation results show that the established models reflect the actual characteristics of the plant to some extent.In this paper,the simulation platform of the established model is developed based on LabWindows/CVI virtual instrument software,and the ActiveX interactive technology is applied for the communication between simulation platform and MATLAB,which provides an ideal environment for researchers and local operators and maintainers to carry out simulation experiments,as well as providing reference for the development of similar simulation platform.
关 键 词:抽水蓄能机组 长引水道 神经网络 仿真 虚拟仪器
分 类 号:TV734.4[水利工程—水利水电工程]
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