针对当前应用于状态估计的广域测量系统(Wide Area Measurement System,WAMS)和数据监控及采集系统(Supervisory Control and Data Acquisition,SCADA)数据频率兼容问题,在分析WAMS/SCADA混合量测数据差异的基础上,提出了一种可行的解...针对当前应用于状态估计的广域测量系统(Wide Area Measurement System,WAMS)和数据监控及采集系统(Supervisory Control and Data Acquisition,SCADA)数据频率兼容问题,在分析WAMS/SCADA混合量测数据差异的基础上,提出了一种可行的解决混合量测数据频率兼容的方案。文章基于数据挖掘理念和Vondrak分区插值算法,对SCADA节点依据数据相关度划分插值区域,各分区内采用同一PMU节点的最优平滑系数进行Vondrk插值,得到WAMS测量时刻的SCADA拟量测数据,应用于无迹卡尔曼滤波(Unscented Kalman Filter,UKF)动态状态估计。该方案不仅可以增补SCADA拟量测数据,提高量测数据和状态估计精度,有效控制系统负荷快速变化时的估计误差,还可以实现系统故障前后全网母线电压波动的可观测。通过在IEEE 118节点系统上模拟日负荷变化和故障过程的仿真分析,验证了该频率兼容方案的有效性。展开更多
Due to the limited scenes that synthetic aperture radar(SAR)satellites can detect,the full-track utilization rate is not high.Because of the computing and storage limitation of one satellite,it is difficult to process...Due to the limited scenes that synthetic aperture radar(SAR)satellites can detect,the full-track utilization rate is not high.Because of the computing and storage limitation of one satellite,it is difficult to process large amounts of data of spaceborne synthetic aperture radars.It is proposed to use a new method of networked satellite data processing for improving the efficiency of data processing.A multi-satellite distributed SAR real-time processing method based on Chirp Scaling(CS)imaging algorithm is studied in this paper,and a distributed data processing system is built with field programmable gate array(FPGA)chips as the kernel.Different from the traditional CS algorithm processing,the system divides data processing into three stages.The computing tasks are reasonably allocated to different data processing units(i.e.,satellites)in each stage.The method effectively saves computing and storage resources of satellites,improves the utilization rate of a single satellite,and shortens the data processing time.Gaofen-3(GF-3)satellite SAR raw data is processed by the system,with the performance of the method verified.展开更多
文摘针对当前应用于状态估计的广域测量系统(Wide Area Measurement System,WAMS)和数据监控及采集系统(Supervisory Control and Data Acquisition,SCADA)数据频率兼容问题,在分析WAMS/SCADA混合量测数据差异的基础上,提出了一种可行的解决混合量测数据频率兼容的方案。文章基于数据挖掘理念和Vondrak分区插值算法,对SCADA节点依据数据相关度划分插值区域,各分区内采用同一PMU节点的最优平滑系数进行Vondrk插值,得到WAMS测量时刻的SCADA拟量测数据,应用于无迹卡尔曼滤波(Unscented Kalman Filter,UKF)动态状态估计。该方案不仅可以增补SCADA拟量测数据,提高量测数据和状态估计精度,有效控制系统负荷快速变化时的估计误差,还可以实现系统故障前后全网母线电压波动的可观测。通过在IEEE 118节点系统上模拟日负荷变化和故障过程的仿真分析,验证了该频率兼容方案的有效性。
基金Project(2017YFC1405600)supported by the National Key R&D Program of ChinaProject(18JK05032)supported by the Scientific Research Project of Education Department of Shaanxi Province,China。
文摘Due to the limited scenes that synthetic aperture radar(SAR)satellites can detect,the full-track utilization rate is not high.Because of the computing and storage limitation of one satellite,it is difficult to process large amounts of data of spaceborne synthetic aperture radars.It is proposed to use a new method of networked satellite data processing for improving the efficiency of data processing.A multi-satellite distributed SAR real-time processing method based on Chirp Scaling(CS)imaging algorithm is studied in this paper,and a distributed data processing system is built with field programmable gate array(FPGA)chips as the kernel.Different from the traditional CS algorithm processing,the system divides data processing into three stages.The computing tasks are reasonably allocated to different data processing units(i.e.,satellites)in each stage.The method effectively saves computing and storage resources of satellites,improves the utilization rate of a single satellite,and shortens the data processing time.Gaofen-3(GF-3)satellite SAR raw data is processed by the system,with the performance of the method verified.
