摘要
电压暂降是电网中的一个关键电能质量问题。用于电压暂降检测的Sage-Husa型卡尔曼滤波器具有形式简单、计算量小、响应速度快的优点,但在系统阶次较高时容易出现滤波发散的问题。为避免滤波发散,同时进一步提高该滤波器的实时响应速度,改进Sage-Husa型卡尔曼滤波器中的噪声矩阵估计器,给出基于改进后Sage-Husa卡尔曼滤波器的电压暂降快速检测方法,并通过仿真和实验证明了该方法的有效性。与传统的Sage-Husa型卡尔曼滤波器相比,改进后Sage-Husa卡尔曼滤波器避免了滤波发散的现象,同时提高了的响应速度。
Voltage sag is one of severe problems in power quality. The Sage-Husa Kalman filter applied in the detection of voltage sag possesses such advantages as high response speed, low calculation burden and simple structure, however the filter divergence occurs easily when the system order is high. To avoid the filter divergence and speed up real-time response of Sage-Husa Kalman filter, the estimator of noise covariance matrices in Sage-Husa Kalman filter is improved, and based on the improved filter a fast detection method of voltage sage is given. The effectiveness of the proposed detection method is verified by simulation and experiments.
出处
《电网技术》
EI
CSCD
北大核心
2013年第1期230-234,共5页
Power System Technology