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Modeling of operational safeguard for power productions in the nuclear power plants (NPPs)

机译：核电厂（NPP）中电力生产的运行保障模型

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Power operations for secure performance are investigated using non-linear algorithm. The object of the simulation is to find the safe operation with safeguard for the life-extension of the operations. The network effect of the game theory is used for the quantification which is incorporated with the Monte-Carlo method. The characteristics of the nuclear power plants (NPPs) are analyzed by the designed occurrence value as the refueling factor (RF) and the safeguard measures factor (SMF) which are used for the basic element. The random sampling for the event frequency is used by the characteristics of network effect method like the zero-sum quantification, because it is impossible to expect the time of terror incident exactly. Three kinds of considerations are basic elements as the nuclear fuel, system, and safeguard properties which are organized as an aspect of safeguard considerations. The maximum value of secure operation is the 13.0 in 14th month and the minimum value is 1.0 in several months during 10 years. Hence, the stability of the secure power operation increases 13 times higher than the lowest value in this study. The conclusions give that the secure operation is changeable in the designed NPPs.
机译：使用非线性算法研究了用于安全性能的电源操作。仿真的目的是找到安全的操作，并为操作的寿命提供保障。博弈论的网络效应用于量化，并与蒙特卡洛方法结合在一起。通过设计发生值作为基本要素使用的加油系数（RF）和保障措施系数（SMF）来分析核电厂（NPPs）的特性。事件频率的随机采样被网络效应方法（如零和量化）的特性所使用，因为不可能精确地预测恐怖事件的发生时间。三种考虑是作为核燃料，系统和保障属性的基本元素，它们被组织为保障考虑的一个方面。安全运行的最大值在第14个月为13.0，最小值在10年的几个月内为1.0。因此，安全电源运行的稳定性比本研究的最低值提高了13倍。结论表明，在设计的核电厂中安全运行是可变的。

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