Accurate and efficient online parameter identification and state estimation are crucial for leveraging digital twin simulations to optimize the operation of near-carbon-free nuclear energy systems.In previous studies,...Accurate and efficient online parameter identification and state estimation are crucial for leveraging digital twin simulations to optimize the operation of near-carbon-free nuclear energy systems.In previous studies,we developed a reactor operation digital twin(RODT).However,non-differentiabilities and discontinuities arise when employing machine learning-based surrogate forward models,challenging traditional gradient-based inverse methods and their variants.This study investigated deterministic and metaheuristic algorithms and developed hybrid algorithms to address these issues.An efficient modular RODT software framework that incorporates these methods into its post-evaluation module is presented for comprehensive comparison.The methods were rigorously assessed based on convergence profiles,stability with respect to noise,and computational performance.The numerical results show that the hybrid KNNLHS algorithm excels in real-time online applications,balancing accuracy and efficiency with a prediction error rate of only 1%and processing times of less than 0.1 s.Contrastingly,algorithms such as FSA,DE,and ADE,although slightly slower(approximately 1 s),demonstrated higher accuracy with a 0.3%relative L_2 error,which advances RODT methodologies to harness machine learning and system modeling for improved reactor monitoring,systematic diagnosis of off-normal events,and lifetime management strategies.The developed modular software and novel optimization methods presented offer pathways to realize the full potential of RODT for transforming energy engineering practices.展开更多
Digital twin(DT)can achieve real-time information fusion and interactive feedback between virtual space and physical space.This technology involves a digital model,real-time information management,comprehensive intell...Digital twin(DT)can achieve real-time information fusion and interactive feedback between virtual space and physical space.This technology involves a digital model,real-time information management,comprehensive intelligent perception networks,etc.,and it can drive the rapid conceptual development of intelligent construction(IC)such as smart factories,smart cities,and smart medical care.Nevertheless,the actual use of DT in IC is partially pending,with numerous scientific factors still not clarified.An overall survey on pending issues and unsolved scientific factors is needed for the development of DT-driven IC.To this end,this study aims to provide a comprehensive review of the state of the art and state of the use of DT-driven IC.The use of DT in planning,design,manufacturing,operation,and maintenance management of IC is demonstrated and analyzed,following which the driving functions of DT in IC are detailed from four aspects:information perception and analysis,data mining and modeling,state assessment and prediction,intelligent optimization and decision-making.Furthermore,the future direction of research,using DT in IC,is presented with some comments and suggestions.This work will help researchers gain in-depth and systematic understanding of the use of DT,and help practitioners to better promote its implementation in IC.展开更多
在低功耗设计中,多电源多电压技术通常使用电源状态表格(Power State Table,PST)定义各个电压域的供电状态组合.当PST数量较多时,EDA(Electronic Design Automation)对PST的合并速度很慢.针对这个问题,提出一种基于分治思想的数字集成...在低功耗设计中,多电源多电压技术通常使用电源状态表格(Power State Table,PST)定义各个电压域的供电状态组合.当PST数量较多时,EDA(Electronic Design Automation)对PST的合并速度很慢.针对这个问题,提出一种基于分治思想的数字集成电路低功耗供电网络建模方法.其利用分治算法将供电网络分割成个子模块,并使用二分查找和哈希算法对建模过程进行优化,使建模速度相比线性查找平均提高了约三分之一.然后使用双重映射算法和并行计算将模型中所有PST快速合并.最后设计UPF测试集以验证模型的正确性和测试模型的分析速度.在500个UPF(Unified Power Format)文件测试中,分析结果正确率为100%.在10个性能测试集中发现相比国际主流的LP工具,速度提高约115倍.展开更多
双发射线圈的感应电能传输(inductive power transfer,IPT)系统能够实现有效分配两逆变器的输出功率,是提高电源侧输出容量的有效手段。该文分析了功率输出1:1工况下的双发射线圈的IPT系统的动态特性,旨在通过IPT系统的小信号模型求解...双发射线圈的感应电能传输(inductive power transfer,IPT)系统能够实现有效分配两逆变器的输出功率,是提高电源侧输出容量的有效手段。该文分析了功率输出1:1工况下的双发射线圈的IPT系统的动态特性,旨在通过IPT系统的小信号模型求解合适的数字PI控制器,提高负载电压动态响应特性,同时保证闭环系统具有充足的稳定裕度。首先,利用广义状态空间平均建模方法对IPT系统进行大信号模型及稳态工作点的分析。在此基础上,建立描述在IPT系统的输入受到扰动状态下的小信号模型。然后,借助Matlab中PIDtool工具箱设计合适的PI控制器参数,提高IPT系统负载电压响应性能,同时验证了闭环小信号模型具有充足的相角稳定裕度。最后,将闭环小信号模型分别与Simulink仿真模型、实验系统进行变电压动态响应对比,IPT系统的负载电压响应时间在13ms左右,与理论设计值相符,证明闭环小信号模型能准确描述系统动态响应。展开更多
基金supported by the Natural Science Foundation of Shanghai(No.23ZR1429300)Innovation Funds of CNNC(Lingchuang Fund,Contract No.CNNC-LCKY-202234)the Project of the Nuclear Power Technology Innovation Center of Science Technology and Industry(No.HDLCXZX-2023-HD-039-02)。
文摘Accurate and efficient online parameter identification and state estimation are crucial for leveraging digital twin simulations to optimize the operation of near-carbon-free nuclear energy systems.In previous studies,we developed a reactor operation digital twin(RODT).However,non-differentiabilities and discontinuities arise when employing machine learning-based surrogate forward models,challenging traditional gradient-based inverse methods and their variants.This study investigated deterministic and metaheuristic algorithms and developed hybrid algorithms to address these issues.An efficient modular RODT software framework that incorporates these methods into its post-evaluation module is presented for comprehensive comparison.The methods were rigorously assessed based on convergence profiles,stability with respect to noise,and computational performance.The numerical results show that the hybrid KNNLHS algorithm excels in real-time online applications,balancing accuracy and efficiency with a prediction error rate of only 1%and processing times of less than 0.1 s.Contrastingly,algorithms such as FSA,DE,and ADE,although slightly slower(approximately 1 s),demonstrated higher accuracy with a 0.3%relative L_2 error,which advances RODT methodologies to harness machine learning and system modeling for improved reactor monitoring,systematic diagnosis of off-normal events,and lifetime management strategies.The developed modular software and novel optimization methods presented offer pathways to realize the full potential of RODT for transforming energy engineering practices.
基金the financial support partially provided by The Quality Engineering Project of Anhui Province(2019sjjd58,2020sxzx36)The Ministry of Education Cooperative Education Project(201901119016)+1 种基金The Chinese(Jiangsu)-Czech Bilateral Co-funding R&D Project(SBZ2018000220)the Key R&D Project of Anhui Science and Technology Department(202004b11020026).
文摘Digital twin(DT)can achieve real-time information fusion and interactive feedback between virtual space and physical space.This technology involves a digital model,real-time information management,comprehensive intelligent perception networks,etc.,and it can drive the rapid conceptual development of intelligent construction(IC)such as smart factories,smart cities,and smart medical care.Nevertheless,the actual use of DT in IC is partially pending,with numerous scientific factors still not clarified.An overall survey on pending issues and unsolved scientific factors is needed for the development of DT-driven IC.To this end,this study aims to provide a comprehensive review of the state of the art and state of the use of DT-driven IC.The use of DT in planning,design,manufacturing,operation,and maintenance management of IC is demonstrated and analyzed,following which the driving functions of DT in IC are detailed from four aspects:information perception and analysis,data mining and modeling,state assessment and prediction,intelligent optimization and decision-making.Furthermore,the future direction of research,using DT in IC,is presented with some comments and suggestions.This work will help researchers gain in-depth and systematic understanding of the use of DT,and help practitioners to better promote its implementation in IC.
文摘在低功耗设计中,多电源多电压技术通常使用电源状态表格(Power State Table,PST)定义各个电压域的供电状态组合.当PST数量较多时,EDA(Electronic Design Automation)对PST的合并速度很慢.针对这个问题,提出一种基于分治思想的数字集成电路低功耗供电网络建模方法.其利用分治算法将供电网络分割成个子模块,并使用二分查找和哈希算法对建模过程进行优化,使建模速度相比线性查找平均提高了约三分之一.然后使用双重映射算法和并行计算将模型中所有PST快速合并.最后设计UPF测试集以验证模型的正确性和测试模型的分析速度.在500个UPF(Unified Power Format)文件测试中,分析结果正确率为100%.在10个性能测试集中发现相比国际主流的LP工具,速度提高约115倍.
文摘双发射线圈的感应电能传输(inductive power transfer,IPT)系统能够实现有效分配两逆变器的输出功率,是提高电源侧输出容量的有效手段。该文分析了功率输出1:1工况下的双发射线圈的IPT系统的动态特性,旨在通过IPT系统的小信号模型求解合适的数字PI控制器,提高负载电压动态响应特性,同时保证闭环系统具有充足的稳定裕度。首先,利用广义状态空间平均建模方法对IPT系统进行大信号模型及稳态工作点的分析。在此基础上,建立描述在IPT系统的输入受到扰动状态下的小信号模型。然后,借助Matlab中PIDtool工具箱设计合适的PI控制器参数,提高IPT系统负载电压响应性能,同时验证了闭环小信号模型具有充足的相角稳定裕度。最后,将闭环小信号模型分别与Simulink仿真模型、实验系统进行变电压动态响应对比,IPT系统的负载电压响应时间在13ms左右,与理论设计值相符,证明闭环小信号模型能准确描述系统动态响应。
