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作 者:马良玉[1] 宋子滕 王佳聪 孙佳明 MA Liang-yu;SONG Zi-teng;WANG Jia-cong;SUN Jia-ming(School of Control and Computer Engineering,North China Electric Power University,Baoding Hebei 071003,China)
机构地区:[1]华北电力大学控制与计算机工程学院,河北保定071003
出 处:《计算机仿真》2024年第6期135-139,151,共6页Computer Simulation
摘 要:为采用预测控制方法改善超临界机组的协调控制品质,采用堆叠降噪自编码器(SDAE)建立了单元机组协调系统特性的数学模型。首先,对600MW火电机组的变工况运行数据进行归一化处理,并运用预处理后的数据完成模型的离线训练。将模型并入仿真机进行单一输入变量阶跃扰动和大幅变负荷实验来验证其动态性能。实验结果表明,上述模型能够很好地描述燃料量、汽轮机调门开度、给水量与主蒸汽压力、负荷间的复杂非线性关系,泛化能力强、精度高,可以满足超临界机组智能控制器的设计要求。In order to improve the coordinated control quality with predictive optimal control method,the stack denoising autoencoder(SDAE)is employed to build the mathematical model of the coordination system characteristics for a supercritical power unit.Firstly,the simulation data obtained by the full-scope simulator of a 600 MW supercritical power unit are normalized,and the pretreated data are used to complete the training of the model.Finally,the model was incorporated into the simulator to verify its dynamic performance by single input-variable step disturbance tests and large-scope variable load experiments.The simulation results show that the model is with strong generalization ability and high precision,which can well describe the complex nonlinear dynamic characteristics between fuel flowrate,steam turbine regulating valve opening and feedwater flow and main steam pressure,unit load.It can meet the design requirements of an intelligent controller of the supercritical power unit.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术] TK229.2[自动化与计算机技术—计算机科学与技术]
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