The concept of the liquid Li17Pb83 and Helium gas dual-cooled Fuel Breeding Blanket (FBB) for the Fusion-Driven sub-critical System (FDS) is presented and analyzed. Taking self-sustaining tritium (TBR >1.05) and an...The concept of the liquid Li17Pb83 and Helium gas dual-cooled Fuel Breeding Blanket (FBB) for the Fusion-Driven sub-critical System (FDS) is presented and analyzed. Taking self-sustaining tritium (TBR >1.05) and annual output of 100 kg or more fissile 239Pu (FBR > 0.238) as objective parameters, and based on the three-dimensional Monte Carlo neutron-photon transport code MCNP/4A, a neutronics-optimizated calculation of different cases was carried out and the concept is proved feasible. In addition, the total breeding ratio ( BR = TBR + FBR ) is listed corresponding to different cases.展开更多
双有源桥(dual active bridge,DAB)变换器理论物理模型与实际模型之间存在差异,而现有基于理论物理模型的调制优化方法未考虑该差异,故其所得理论最优路径在实际应用中难以达到理论最优效果。为此针对DAB变换器提出一种基于物理模型-数...双有源桥(dual active bridge,DAB)变换器理论物理模型与实际模型之间存在差异,而现有基于理论物理模型的调制优化方法未考虑该差异,故其所得理论最优路径在实际应用中难以达到理论最优效果。为此针对DAB变换器提出一种基于物理模型-数据混合驱动的扩展移相调制复合优化策略。首先,建立DAB变换器在扩展移相调制全工作模式下的理论物理模型,基于该理论模型训练神经网络(neural network,NN)数据驱动模型,并结合小样本实测数据对NN数据驱动模型进行迁移学习,从而得到高精度实际电路模型。然后,根据复合优化目标提出一种基于二重遍历的控制路径寻优算法,并设计基于三次样条插值的最优控制路径连续化方法,实现DAB变换器连续最优控制。最后,通过实验验证所提优化策略的有效性,结果表明与基于理论模型的优化策略相较,所提优化策略进一步提升了DAB变换器控制优化效果,减小了回流功率和电流应力,提高了功率传输效率,并且所提策略自动化执行程度高,能够取代传统复杂调制寻优分析过程,便于工业应用与数字化实现。展开更多
基金This work was supported by the Chinese Academy of Sciences and the National Natural Science Foundation of China No.10175068.
文摘The concept of the liquid Li17Pb83 and Helium gas dual-cooled Fuel Breeding Blanket (FBB) for the Fusion-Driven sub-critical System (FDS) is presented and analyzed. Taking self-sustaining tritium (TBR >1.05) and annual output of 100 kg or more fissile 239Pu (FBR > 0.238) as objective parameters, and based on the three-dimensional Monte Carlo neutron-photon transport code MCNP/4A, a neutronics-optimizated calculation of different cases was carried out and the concept is proved feasible. In addition, the total breeding ratio ( BR = TBR + FBR ) is listed corresponding to different cases.
文摘双有源桥(dual active bridge,DAB)变换器理论物理模型与实际模型之间存在差异,而现有基于理论物理模型的调制优化方法未考虑该差异,故其所得理论最优路径在实际应用中难以达到理论最优效果。为此针对DAB变换器提出一种基于物理模型-数据混合驱动的扩展移相调制复合优化策略。首先,建立DAB变换器在扩展移相调制全工作模式下的理论物理模型,基于该理论模型训练神经网络(neural network,NN)数据驱动模型,并结合小样本实测数据对NN数据驱动模型进行迁移学习,从而得到高精度实际电路模型。然后,根据复合优化目标提出一种基于二重遍历的控制路径寻优算法,并设计基于三次样条插值的最优控制路径连续化方法,实现DAB变换器连续最优控制。最后,通过实验验证所提优化策略的有效性,结果表明与基于理论模型的优化策略相较,所提优化策略进一步提升了DAB变换器控制优化效果,减小了回流功率和电流应力,提高了功率传输效率,并且所提策略自动化执行程度高,能够取代传统复杂调制寻优分析过程,便于工业应用与数字化实现。
