基于曲线拟合的电能质量去噪算法  被引量:2

Method of power quality detection based on curve fitting

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作  者:唐良瑞[1] 王洪婷[1] 

机构地区:[1]华北电力大学信息工程系,北京102206

出  处:《计算机应用研究》2007年第11期213-214,224,共3页Application Research of Computers

基  金:国家自然科学基金资助项目(60402004)

摘  要:根据曲线拟合的概念,提出了一种新的电能质量检测的去噪算法。该算法利用局部突变点与设定窗口邻域点的时域特性关系进行去噪处理。实验仿真结果表明,与五点中值法和五点均值法相比,该方法能有效解决抑制噪声与保护信号局部特征之间的矛盾。By using curve fitting theory, proposed a new method of power quality detection. Speculated the mathematic model of power quality by using least square method for curve fitting. By using the principle, this method used the time domain structure relations between the partial catastrophe points and their neighborhood points within the set window to process differently. The slmulation experiment resuits indicate that, for the effects and keeping the brake-points' information, this algorithm is much better than median filter and average filter. It can settle the conflict between the signal's local characteristic protection and noises restriction commendably.

关 键 词:电能质量检测 曲线拟合 中值滤波 均值滤波 

分 类 号:TM714[电气工程—电力系统及自动化]

 

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