利用卡尔曼滤波技术滤取工频分量的方法  

Method of Obtaining Fundamental Frequency Components with Kalman Filtering Technique

作　　者：于九祥[1] 

机构地区：[1]山东工业大学,济南250014

出　　处：《电网技术》1993年第6期44-50,共7页Power System Technology

摘　　要：卡尔曼滤波,是线性、无偏、最小方差的实时递推滤波,是一种高效、优化的数据处理方法。本文以卡尔曼滤波方法就输电系统的二状态电压模型和三状态电流模型的滤波模型参数的确定,进行了分析研究,以具体线路(山东邹县—潍坊500kV数字仿真网络)为例,作了短路过程电压和电流工频分量的最优估计,获得了一套适合于各种故障情况的模型参数。此模型参数之滤波精度和收敛速度俱称满意。Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square. The author gets a set of Kalman filtering parameters wiht the transmission system of two -state voltage variable and three-state current variable model. Using the actual transmission line of 500kV Shandong Zouxian-Weifang as an example to simulate the short circuit process. The fundemental frequency components of voltage and current are optimally estimated and a set of model parameters is obtained suitable for various kinds of fault conditions. The precision and convergency speed are satisfactary

关 键 词：卡尔曼滤波 工频分量 模型参数 

分 类 号：TN713[电子电信—电路与系统]