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。以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数学仿真线路)为例作了短路过程基频电压和电流分量的最优估计,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。本法实时计算简单,特别适合于在高压输电线路的微机保护上应用。
Kalman filter is a high efficient, optimal data process method, which is a real time recursive filter based on linear, non-bias and least square approach.The author gets a set of kalman filtering parameters with the transmission system of two-state voltage variable and three-state current variable model. By using an actual 500kV transmission line 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 parameter is obtained suitable for various kinds of faulted condition. The precision and convergency speed are satisfied. Especially, the simple real-time computation make it applicable to the micro-computer protection of high voltage transmission line.
出处
《电力系统自动化》
EI
CSCD
北大核心
1993年第2期26-33,共8页
Automation of Electric Power Systems
关键词
电力系统
微机保护
卡尔曼滤波
Kalman Filtering
Power System Protection
Microcomputer Protection
