摘要
提出了一种基于数学形态学和短窗功率算法的电能质量扰动检测及定位方法。根据数学形态学基本原理及其形态变换构造了一种简单实用的形态滤波器并将其运用于扰动信号预处理中,以同时滤除随机和脉冲噪声。该滤波方法能在滤除多种噪声的同时,较好地保留了扰动信号的基本形态特征,较之小波方法和传统形态滤波方法更为有效。根据扰动位置能量的变化,对滤波后的信号利用短窗功率算法以准确地检测出扰动并进行时间定位。分别用电压暂升、暂降、中断和短时电压波动对该方法进行验证,Matlab仿真结果表明了该方法的有效性。
Based on the mathematical morphology and the power algorithm of short data window,a method of power quality disturbance detection and location is proposed. In order to filter random and impulsive noises,a simple and practical morphological filter is designed based on the principle of mathematical morphology and its morphological transform. It holds the fundamental characteristics of original signals when filters noises and is more efficient than wavelet and traditional morphological filters. The power algorithm of short data window is applied to the filtered signals to detect accurately the power quality disturbance and locate precisely its occurrence time according to the energy change. The voltage swell,sag,interruption,short-duration fluctuation are used in Matlab simulation to verify its validity.
出处
《电力自动化设备》
EI
CSCD
北大核心
2008年第7期37-40,共4页
Electric Power Automation Equipment
关键词
数学形态学
短窗功率
电能质量
形态滤波器
mathematical morphology
power of short data window
power quality
morphological filter
