基于Sage-Husa卡尔曼滤波的三相电压暂降检测

针对三相三线制系统,提出一种检测三相电压暂降的新方法。通过瞬时对称分量法在αβ静止坐标系下建立离散检测模型,引入90°超前移相算子,解耦了暂降电压正序、负序分量的检测;采用Sage-Husa卡尔曼滤波算法实现移相算子,产生正交分量,同时表现出算法自身的滤波功能;引入欧氏空间距离定位故障发生及恢复时刻,并重置卡尔曼滤波器参数,加快检测响应速度。仿真结果表明,所述方法在响应速度和稳态精度方面具有优越性,证明了该方法的可行性和有效性。

Three-phase Voltage Sag Detection Based on Sage-Husa Kalman Filtering

A novel method for detecting voltage sags is proposed for three-phase three-wire power systems.The detecting method which uses the 90°-leading-phase-shift operator is derived from instantaneous symmetrical components theory and is constructed on the stationary and orthogonal αβ reference frame.Detection of positive and negative components is decoupled.Sage-Husa Kalman filtering is used to generate in-quadrature signals and serves as a filter for fundamental component detection.Euclidean vector norm is adopted to locate voltage sag and reset Kalman filtering parameters.Simulation results show that the proposed method has advantages of fast response and high steady accuracy and verify the correctness and feasibility of the proposed method.