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作 者:梁倩云 邓科[2] LIANG Qian-Yun;DENG Ke(State Grid Sichuan Electric Power Company,Chengdu 610041,China;School of Mathematics,Sichuan University,Chengdu 610064,China)
机构地区:[1]国网四川省电力公司,成都610041 [2]四川大学数学学院,成都610064
出 处:《四川大学学报(自然科学版)》2025年第2期501-507,共7页Journal of Sichuan University(Natural Science Edition)
基 金:四川大学-中国核动力研究设计院联合创新基金重点项目(SCU&DRSI-LHCX-6)。
摘 要:核电机组的蒸汽发生器将反应堆的一回路裂变能量传递到二回路.对蒸汽发生器的关键参数进行辨识,不仅有利于优化核电机组的局部或整体设计,也有利于及时准确估计反应堆的工况条件,改进其控制效果.本文通过提取蒸汽发生器的液相流速和气相流速的多项式特征,对其运转机制进行了建模分析.针对蒸汽发生器的阀门开度、参考水位和阀门CV值等3个关键参数,本文建立了相应模型,通过优化降低了模型的复杂度和不确定性.然后,本文利用人工神经网络对3个关键参数进行了辨识.仿真分析表明,本方法具有良好的辨识效果,与实际参数所对应的气相和液相流速曲线相比,辨识得到的参数所对应的气相和液相流速曲线的平均误差率分别仅为0.28%和0.32%.As a core device of nuclear reactor,steam generator is used to transfer the fission energy from primary circuit to secondary circuit of nuclear reactor.The key parameter identification of steam generator can help to improve the design of nuclear power unit partly or whole,estimate the working condition of nuclear reactor timely and accurately,and optimize the control and management strategy of nuclear reactor.In this paper,the polynomial characteristic of liquid flow rate and gas flow rate of steam generator are extracted in order to analyze and model its operation mechanism.Models are established for the three key parameters,i.e.,the valve opening parameter,the reference water level parameter and the valve CV parameter.To reduce the complexity and uncertainty,the models are further optimized.Then the key parameter identification is realized by using a multi-layer perceptron(MLP).Simulation results show that the performance of the method is quite well.Compared to the gas and liquid flow rate curves corresponding to the actual parameters,the average error rates of the gas and liquid flow rate curves corresponding to the identified parameters are 0.28%and 0.32%,respectively.
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