智能电网是一个电力网络和通信网络耦合的物理信息电力系统(CPPS,cyber-physical power system),这种双域耦合的特性使得对其实时仿真成为难点。不同于现有基于软件同步的联合仿真方法,借助了FPGA的可编程计算能力和Jetson的实时操作系...智能电网是一个电力网络和通信网络耦合的物理信息电力系统(CPPS,cyber-physical power system),这种双域耦合的特性使得对其实时仿真成为难点。不同于现有基于软件同步的联合仿真方法,借助了FPGA的可编程计算能力和Jetson的实时操作系统,设计了基于FPGA-Jetson平台的智能电网硬件实时联合仿真架构,在FPGA板卡内进行电力系统仿真,在Jetson平台中完成信息通信系统仿真,利用PCIe数据通道模拟双域的信息交互。通过充分发掘各个模块的计算和数据传输能力,可以实现对“电网+通信网”双域联合的实时仿真。最后,针对广域AC-DC混合输电网和微电网两个典型智能电网场景设计了相应的实时仿真模型及参数,验证了所提实时联合仿真架构的可行性和可扩展性。展开更多
With the increasing demand for power system stability and resilience,effective real-time tracking plays a crucial role in smart grid synchronization.However,most studies have focused on measurement noise,while they se...With the increasing demand for power system stability and resilience,effective real-time tracking plays a crucial role in smart grid synchronization.However,most studies have focused on measurement noise,while they seldom think about the problem of measurement data loss in smart power grid synchronization.To solve this problem,a resilient fault-tolerant extended Kalman filter(RFTEKF)is proposed to track voltage amplitude,voltage phase angle and frequency dynamically.First,a threephase unbalanced network’s positive sequence fast estimation model is established.Then,the loss phenomenon of measurements occurs randomly,and the randomness of data loss’s randomness is defined by discrete interval distribution[0,1].Subsequently,a resilient fault-tolerant extended Kalman filter based on the real-time estimation framework is designed using the timestamp technique to acquire partial data loss information.Finally,extensive simulation results manifest the proposed RFTEKF can synchronize the smart grid more effectively than the traditional extended Kalman filter(EKF).展开更多
基金The Natural Sciences and Engineering Research Council of Canada(NSERC)国家自然科学基金资助项目(No.62101598)。
文摘智能电网是一个电力网络和通信网络耦合的物理信息电力系统(CPPS,cyber-physical power system),这种双域耦合的特性使得对其实时仿真成为难点。不同于现有基于软件同步的联合仿真方法,借助了FPGA的可编程计算能力和Jetson的实时操作系统,设计了基于FPGA-Jetson平台的智能电网硬件实时联合仿真架构,在FPGA板卡内进行电力系统仿真,在Jetson平台中完成信息通信系统仿真,利用PCIe数据通道模拟双域的信息交互。通过充分发掘各个模块的计算和数据传输能力,可以实现对“电网+通信网”双域联合的实时仿真。最后,针对广域AC-DC混合输电网和微电网两个典型智能电网场景设计了相应的实时仿真模型及参数,验证了所提实时联合仿真架构的可行性和可扩展性。
基金supported in part by the National Natural Science Foundation of China under Grant 62203395in part by the Natural Science Foundation of Henan under Grant 242300421167in part by the China Postdoctoral Science Foundation under Grant 2023TQ0306.
文摘With the increasing demand for power system stability and resilience,effective real-time tracking plays a crucial role in smart grid synchronization.However,most studies have focused on measurement noise,while they seldom think about the problem of measurement data loss in smart power grid synchronization.To solve this problem,a resilient fault-tolerant extended Kalman filter(RFTEKF)is proposed to track voltage amplitude,voltage phase angle and frequency dynamically.First,a threephase unbalanced network’s positive sequence fast estimation model is established.Then,the loss phenomenon of measurements occurs randomly,and the randomness of data loss’s randomness is defined by discrete interval distribution[0,1].Subsequently,a resilient fault-tolerant extended Kalman filter based on the real-time estimation framework is designed using the timestamp technique to acquire partial data loss information.Finally,extensive simulation results manifest the proposed RFTEKF can synchronize the smart grid more effectively than the traditional extended Kalman filter(EKF).
