Uncertainty quantification of the power control system of a small PWR with coolant temperature perturbation
Uncertainty quantification of the power control system of a small PWR with coolant temperature perturbation
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DOI：
10.1016/j.net.2022.01.005
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发表时间：
2022-01
影响因子：
2.7
通讯作者：
Xiaoyu Li;Chuhao Li;Yang Hu;Y. Yu;Wenjie Zeng;Haibiao Wu
中科院分区：
文献类型：
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作者：
Xiaoyu Li;Chuhao Li;Yang Hu;Y. Yu;Wenjie Zeng;Haibiao Wu
冷却剂温度反馈系数是反应堆堆芯功率控制系统的重要参数。为了研究冷却剂温度反馈系数对小型压水堆堆芯功率控制系统的影响，采用非线性模型和模糊控制理论建立了堆芯功率控制系统。基于拉丁超立方抽样法和Bootstrap法建立了反应堆堆芯参数不确定度量化方法。最后，在反应性阶跃扰动和冷却剂进口温度阶跃扰动条件下，对两种情况进行了不确定度分析。结果表明，采用模糊控制器和模糊PID控制器，冷却剂温度反馈系数的不确定性对堆芯功率控制系统的影响是可以接受的，堆芯相对功率、冷却剂温度偏差、燃料温度偏差和总反应性的最大不确定性都是可以接受的。
The coolant temperature feedback coefficient is an important parameter of reactor core power control system. To study the coolant temperature feedback coefficient influence on the core power control system of small PWR, the core power control system is built with the nonlinear model and fuzzy control theory. Then, the uncertainty quantification method of reactor core parameters is established based on the Latin hypercube sampling method and the Bootstrap method. Finally, under the conditions of reactivity step perturbation and coolant inlet temperature step perturbation, uncertainty analysis for two cases is carried out. The result shows that with fuzzy controller and fuzzy PID controller, the uncertainty of the coolant temperature feedback coefficient affects the core power control system, and the maximum uncertainties of core relative power, coolant temperature deviation, fuel temperature deviation and total reactivity are acceptable.