基于包含谐波模型的加权最小二乘估计算法的电压暂降检测方法  

Voltage sag detection based on weighted least-squares estimation algorithm with harmonic models

作　　者：雷何[1] 高山[1] 林新春[1] 康勇[1] 段余平[2] 邱军[2] 

机构地区：[1]华中科技大学强电磁工程与新技术国家重点实验室,湖北武汉430074 [2]武汉钢铁(集团)公司,湖北武汉430083

出　　处：《电力自动化设备》2013年第9期36-41,共6页Electric Power Automation Equipment

摘　　要：针对动态电压恢复器需要以较快的速度检测出电网电压暂降,提出一种基于对电网电压建立谐波模型的加权最小二乘估计算法的电压暂降检测方法。通过重置协方差,在电网电压的谐波分量较高时该算法也能准确快速地判断出电压暂降。由于建立了谐波模型,稳态误差不会包含大量谐波分量,因此重置协方差的阈值可以设置得较小,使得该算法能够较快地检测出深度较小的电压暂降。通过设置不同的实验条件,验证了该算法具有良好的检测性能。The dynamic voltage restorer should detect the grid voltage sag rapidly,for which,a detection method based on the weighted least-squares estimation algorithm with harmonic models is proposed. It detects the voltage sag accurately and rapidly by covariance resetting,even when the grid voltage contains considerable harmonic components. Since the harmonic models are built and the steady-state error contains only a few harmonic components,smaller covariance resetting threshold may be selected,which helps to rapidly detect low- depth voltage sags. Its better detection performance is verified under different experimental conditions.

关 键 词：动态电压恢复器 电压暂降检测 谐波模型 加权最小二乘法 重置协方差 

分 类 号：TM714[电气工程—电力系统及自动化]