公开(公告)号：US08898027B2

公开(公告)日：2014-11-25

申请号：US12996896

申请日：2009-09-04

申请人： Yaozhong Xin ,  Fang Li ,  Jingtao Wu ,  Hongzhu Tao ,  Jianfeng Yan ,  Gang Duan ,  Fang Tian ,  Yu Dong ,  Wei Zhang

发明人： Yaozhong Xin ,  Fang Li ,  Jingtao Wu ,  Hongzhu Tao ,  Jianfeng Yan ,  Gang Duan ,  Fang Tian ,  Yu Dong ,  Wei Zhang

IPC分类号： G01R23/00 ,  H02J3/24

CPC分类号： H02J3/24

摘要： A method and a system for a comprehensive analysis of low frequency oscillation. The method includes: firstly, initiating a wide area measurement system WAMS (71) to perform real-time monitoring; transmitting real-time low frequency oscillation information to a dynamic early-warning system (72) periodically; then converting the low frequency oscillation information received by the dynamic early-warning system (72) into an input file for stability calculation with small disturbance, and performing related calculation; finally, transmitting the calculated result back to the wide area measurement system WAMS (71) and a human-machine system interface for output. The system includes: the wide area measurement system WAMS (71), the dynamic early-warning system (72), a system for stability calculation with small disturbance (73) and an output system (74).

摘要翻译： 一种综合分析低频振荡的方法和系统。 该方法包括：首先启动广域测量系统WAMS（71）进行实时监控; 周期性地将实时低频振荡信息发送到动态预警系统（72）; 然后将由动态预警系统（72）接收的低频振荡信息转换成具有小干扰的用于稳定性计算的输入文件，并执行相关计算; 最后，将计算结果传送回广域测量系统WAMS（71）和人机界面进行输出。 该系统包括：广域测量系统WAMS（71），动态预警系统（72），小干扰稳定计算系统（73）和输出系统（74）。

公开(公告)号：US20120283967A1

公开(公告)日：2012-11-08

申请号：US13497512

申请日：2009-12-09

申请人： Gang Duan ,  Jingtao Wu ,  Xiaoyan Sun ,  Dong Yang

发明人： Gang Duan ,  Jingtao Wu ,  Xiaoyan Sun ,  Dong Yang

IPC分类号： G01R21/00 ,  G01R25/00 ,  G06F19/00 ,  G01P3/00 ,  G01R19/00

CPC分类号： H02J13/0006 ,  G01R19/2513 ,  Y02E60/728 ,  Y02E60/74 ,  Y04S10/265 ,  Y04S10/30

摘要： A state-matrix-independent dynamic process estimation method in real-time for weakly observable measurement nodes without PMU is only dependent on real-time measurement dynamic data of measurement nodes with Phasor Mesurement Unit (PMU) and measurement data of Supervisory Control And Data Acquisition (SCADA) system in electric power system or state estimation data. According to the SCADA measurement data or state estimation data at some continuous moments, the method utilizes recursive least squares solution to find a linear combination relationship between variation of measurement parameter to be estimated of nodes without PMU and variation of corresponding measurement parameter of nodes with PMU. Using the linear combination of relationship, the dynamic process of measurement nodes without PMU is estimated in real-time. The method provides high estimation precision and meets error requirements of engineering application.

摘要翻译： 对于弱PMI测量节点，实时状态矩无关动态过程估计方法仅依赖于相量测量单元（PMU）和监控控制与数据采集测量数据的实时测量动态数据 （SCADA）系统或状态估计数据。 根据SCADA测量数据或某些连续时刻的状态估计数据，该方法利用递归最小二乘解求解PMU节点测量参数变化与PMU节点对应测量参数变化之间的线性组合关系 。 使用线性关系的组合，实时估计无PMU的测量节点的动态过程。 该方法提供高估计精度，满足工程应用的误差要求。

公开(公告)号：US20110191048A1

公开(公告)日：2011-08-04

申请号：US12996896

申请日：2009-09-04

申请人： Yaozhong Xin ,  Fang Li ,  Jingtao Wu ,  Hongzhu Tao ,  Jianfeng Yan ,  Gang Duan ,  Fang Tian ,  Yu Dong ,  Wei Zhang

发明人： Yaozhong Xin ,  Fang Li ,  Jingtao Wu ,  Hongzhu Tao ,  Jianfeng Yan ,  Gang Duan ,  Fang Tian ,  Yu Dong ,  Wei Zhang

IPC分类号： G06F19/00

CPC分类号： H02J3/24

摘要： A method and a system for a comprehensive analysis of low frequency oscillation. The method includes: firstly, initiating a wide area measurement system WAMS (71) to perform real-time monitoring; transmitting real-time low frequency oscillation information to a dynamic early-warning system (72) periodically; then converting the low frequency oscillation information received by the dynamic early-warning system (72) into an input file for stability calculation with small disturbance, and performing related calculation; finally, transmitting the calculated result back to the wide area measurement system WAMS (71) and a human-machine system interface for output. The system includes: the wide area measurement system WAMS (71), the dynamic early-warning system (72), a system for stability calculation with small disturbance (73) and an output system (74).

摘要翻译： 一种综合分析低频振荡的方法和系统。 该方法包括：首先启动广域测量系统WAMS（71）进行实时监控; 周期性地将实时低频振荡信息发送到动态预警系统（72）; 然后将由动态预警系统（72）接收的低频振荡信息转换成具有小干扰的用于稳定性计算的输入文件，并执行相关计算; 最后，将计算结果传送回广域测量系统WAMS（71）和人机界面进行输出。 该系统包括：广域测量系统WAMS（71），动态预警系统（72），小干扰稳定计算系统（73）和输出系统（74）。

公开(公告)号：US09178386B2

公开(公告)日：2015-11-03

申请号：US13497512

申请日：2009-12-09

申请人： Gang Duan ,  Jingtao Wu ,  Xiaoyan Sun ,  Dong Yang

发明人： Gang Duan ,  Jingtao Wu ,  Xiaoyan Sun ,  Dong Yang

IPC分类号： H02J13/00 ,  G01R19/25

CPC分类号： H02J13/0006 ,  G01R19/2513 ,  Y02E60/728 ,  Y02E60/74 ,  Y04S10/265 ,  Y04S10/30

摘要： A state-matrix-independent dynamic process estimation method in real-time for weakly observable measurement nodes without Phasor Measurement Unit(PMU) is only dependent on real-time measurement dynamic data of measurement nodes with PMU and measurement data of Supervisory Control And Data Acquisition (SCADA) system in electric power system or state estimation data. According to the SCADA measurement data or state estimation data at some continuous moments, the method utilizes recursive least squares solution to find a linear combination relationship between variation of measurement parameter to be estimated of nodes without PMU and variation of corresponding measurement parameter of nodes with PMU. Using the linear combination of relationship, the dynamic process of measurement nodes without PMU is estimated in real-time. The method provides high estimation precision and meets error requirements of engineering application.

摘要翻译： 弱相关测量单元（PMU）的弱观测测量节点的状态矩无关动态过程估计方法仅取决于PMU测量节点与监控和数据采集测量数据的实时测量动态数据 （SCADA）系统或状态估计数据。 根据SCADA测量数据或某些连续时刻的状态估计数据，该方法利用递归最小二乘解求解PMU节点测量参数变化与PMU节点对应测量参数变化之间的线性组合关系 。 使用线性关系的组合，实时估计无PMU的测量节点的动态过程。 该方法提供高估计精度，满足工程应用的误差要求。