Substantial changes are occurring in electric distribution systems due to ambitious targets towards carbonneutrality in many regions around the world.One of the key challenges is how to analyze the interactions of mas...Substantial changes are occurring in electric distribution systems due to ambitious targets towards carbonneutrality in many regions around the world.One of the key challenges is how to analyze the interactions of massive amount of energy endusers with the electric distribution grid operator.In this paper,we introduce a comprehensive simulation platform,AI4Dist,that is capable to perform a wide collection of distribution system studies that capture multiple timescales ranging from market planning to transient event analysis.AI4Dist is designed to effortlessly integrate with offtheshelf machine learning packages and algorithm implementations.We envision that AI4Dist will serve as a platform to empower researchers with different expertise to contribute to the development of low carbon electricity sector.展开更多
Distributed power flow controller,which is among the most powerful distributed flexible transmission equipments,is still only in the stage of the oretical research and digital simulation.In order to promote the engine...Distributed power flow controller,which is among the most powerful distributed flexible transmission equipments,is still only in the stage of the oretical research and digital simulation.In order to promote the engineering demonstration of a distributed power flow controller,it is urgent to establish a digital/analog simulation platform that supports closed-loop real-time simulation of a distributed power flow controller.In this paper,the electromagnetic transient model of a distributed power flow controller is established on ADPSS(advanced digital power system simulator).The rapid control prototype realized by dSPACE is connected to ADPSS to form a digital/analog simulation platform for a distributed power flow controller.Through a voltage control and power flow control simulation of the test system with a distributed power flow controller,the correctness and effectiveness of the constructed simulation platform are verified,which provides a new way for the verification of the new theory of a distributed power flow controller.展开更多
here has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards,such as the interactions and coupled effects betwe...here has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards,such as the interactions and coupled effects between civil infrastructure systems response,human behavior,and social policies,for improved community resilience.Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process.This can be implemented by means of distributed simulation platforms or data passing tools.In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards,this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields.With this aim,the article provides a comprehensive review of the most commonly used generic distributed simulation platforms(Distributed Interactive Simulation(DIS),High Level Architecture(HLA),Test and Training Enabling Architecture(TENA),and Distributed Data Services(DDS))and data passing tools(Robot Operation System(ROS)and Lightweight Communication and Marshalling(LCM))and compares their advantages and disadvantages.Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation.For mitigating the identified limitations,two platform design recommendations are provided,namely message exchange wrappers and hybrid communication,to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework.展开更多
航空领域常进行电子对抗仿真,为获得更高的仿真置信度,一个分布式、高效、兼容性好、能应对复杂场景仿真的系统很有必要;通过对Simulink进行研究,提出一种既能解决HLA(high level architecture)架构下模型兼容性问题,还能保证模型运行...航空领域常进行电子对抗仿真,为获得更高的仿真置信度,一个分布式、高效、兼容性好、能应对复杂场景仿真的系统很有必要;通过对Simulink进行研究,提出一种既能解决HLA(high level architecture)架构下模型兼容性问题,还能保证模型运行效率的分布式仿真系统创建方法;该方法利用M语言脚本实例化Simulink模型,动态适配想定场景,并在RTW(real time workshop)的帮助下将模型编译为可执行程序,在MTC(main time control)统一调度下完成时间同步和仿真推进;最后,通过红蓝电子对抗想定场景仿真,进一步验证了按此方法搭建的仿真系统是可信的,基于该系统构建作战需求仿真平台的想法是可行的。展开更多
API RP2AWSD is a design code in practice for design of jacket platforms in the Persian Gulf but is based on the Gulf of Mexico environmental condition. So for the sake of using this code for the Persian Gulf, it is be...API RP2AWSD is a design code in practice for design of jacket platforms in the Persian Gulf but is based on the Gulf of Mexico environmental condition. So for the sake of using this code for the Persian Gulf, it is better to perform a calibration based on this specific region. Analysis and design of jacket platforms based on API code are performed in a static manner and dynamic analysis is not recommended for such structures. Regarding the fact that the real behavior of the offshore jacket platforms is a dynamic behavior, so in this research, dynamic analysis for an offshore jacket platform in the Persian Gulf under extreme environmental condition is performed using random time domain method. Therefore, a new constructed offshore jacket platform in the Persian Gulf is selected and analyzed. Fifteen, 1-h storm, simulations for the water surface elevation is produced to capture the statistical properties of extreme sea condition. Time series of base shear and overturning moment are derived from both dynamic and static responses. By calculating the maximum dynamic amplification factor (DAF) from each simulation and fitting the collected data to Weibull distribution, the most probable maximum extreme (MPME) value for the DAF is achieved. Results show that a realistic value for DAF for this specific platform is 1.06, which is a notable value and is recommended to take into practice in design of fixed jacket platform in the Persian Gulf.展开更多
基金supported in part by the Breakthrough Energy Sci-ences,and in part by the Texas A&M Engineering Experiment Station Smart Grid Center.
文摘Substantial changes are occurring in electric distribution systems due to ambitious targets towards carbonneutrality in many regions around the world.One of the key challenges is how to analyze the interactions of massive amount of energy endusers with the electric distribution grid operator.In this paper,we introduce a comprehensive simulation platform,AI4Dist,that is capable to perform a wide collection of distribution system studies that capture multiple timescales ranging from market planning to transient event analysis.AI4Dist is designed to effortlessly integrate with offtheshelf machine learning packages and algorithm implementations.We envision that AI4Dist will serve as a platform to empower researchers with different expertise to contribute to the development of low carbon electricity sector.
基金This work is supported in partial by Major State Basic Research Project （No. G19990328, Parallel Computations of the Large-Scale Reservoir Simulation （2003-2004） （Cooperated with China National 0ffshore 0il Corporation）, and National Natural Science Foundation Project （No. 60303020, 2004.1-2006.12）.
基金the National Natural Science Foundation of China(51177114)the Major Projects of Technical Innovation in Huhei(2018AAA050,2019AAA016).
文摘Distributed power flow controller,which is among the most powerful distributed flexible transmission equipments,is still only in the stage of the oretical research and digital simulation.In order to promote the engineering demonstration of a distributed power flow controller,it is urgent to establish a digital/analog simulation platform that supports closed-loop real-time simulation of a distributed power flow controller.In this paper,the electromagnetic transient model of a distributed power flow controller is established on ADPSS(advanced digital power system simulator).The rapid control prototype realized by dSPACE is connected to ADPSS to form a digital/analog simulation platform for a distributed power flow controller.Through a voltage control and power flow control simulation of the test system with a distributed power flow controller,the correctness and effectiveness of the constructed simulation platform are verified,which provides a new way for the verification of the new theory of a distributed power flow controller.
基金the financial support for this research received from the United States National Science Foundation(NSF)via Grants ACI#1638186 and CBET#1804321。
文摘here has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards,such as the interactions and coupled effects between civil infrastructure systems response,human behavior,and social policies,for improved community resilience.Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process.This can be implemented by means of distributed simulation platforms or data passing tools.In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards,this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields.With this aim,the article provides a comprehensive review of the most commonly used generic distributed simulation platforms(Distributed Interactive Simulation(DIS),High Level Architecture(HLA),Test and Training Enabling Architecture(TENA),and Distributed Data Services(DDS))and data passing tools(Robot Operation System(ROS)and Lightweight Communication and Marshalling(LCM))and compares their advantages and disadvantages.Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation.For mitigating the identified limitations,two platform design recommendations are provided,namely message exchange wrappers and hybrid communication,to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework.
文摘航空领域常进行电子对抗仿真,为获得更高的仿真置信度,一个分布式、高效、兼容性好、能应对复杂场景仿真的系统很有必要;通过对Simulink进行研究,提出一种既能解决HLA(high level architecture)架构下模型兼容性问题,还能保证模型运行效率的分布式仿真系统创建方法;该方法利用M语言脚本实例化Simulink模型,动态适配想定场景,并在RTW(real time workshop)的帮助下将模型编译为可执行程序,在MTC(main time control)统一调度下完成时间同步和仿真推进;最后,通过红蓝电子对抗想定场景仿真,进一步验证了按此方法搭建的仿真系统是可信的,基于该系统构建作战需求仿真平台的想法是可行的。
文摘API RP2AWSD is a design code in practice for design of jacket platforms in the Persian Gulf but is based on the Gulf of Mexico environmental condition. So for the sake of using this code for the Persian Gulf, it is better to perform a calibration based on this specific region. Analysis and design of jacket platforms based on API code are performed in a static manner and dynamic analysis is not recommended for such structures. Regarding the fact that the real behavior of the offshore jacket platforms is a dynamic behavior, so in this research, dynamic analysis for an offshore jacket platform in the Persian Gulf under extreme environmental condition is performed using random time domain method. Therefore, a new constructed offshore jacket platform in the Persian Gulf is selected and analyzed. Fifteen, 1-h storm, simulations for the water surface elevation is produced to capture the statistical properties of extreme sea condition. Time series of base shear and overturning moment are derived from both dynamic and static responses. By calculating the maximum dynamic amplification factor (DAF) from each simulation and fitting the collected data to Weibull distribution, the most probable maximum extreme (MPME) value for the DAF is achieved. Results show that a realistic value for DAF for this specific platform is 1.06, which is a notable value and is recommended to take into practice in design of fixed jacket platform in the Persian Gulf.
