电网畸变条件下基于滑动平均?自适应陷波滤波器的基波相位提取  

Fundamental Phase Extraction Based on Moving Average-Adaptive Notch Filter Under Distorted Grid Conditions

作　　者：吴晓波 赵仁德[1] 马帅 

机构地区：[1]中国石油大学(华东)信息与控制工程学院,山东省青岛市266555 [2]山东省电力公司莱芜供电公司,山东省莱芜市271100

出　　处：《电网技术》2013年第12期3528-3533,共6页Power System Technology

基　　金：中央高校基本科研业务费专项资金资助项目(10CX04036A)~~

摘　　要：风力发电等分布式发电系统并网时,需要实时检测电网电压的基波频率和瞬时相位,现实电网中含有的未知次数的谐波不利于实现准确锁相。为此,利用滑动平均滤波器(moving average filter,MAF)在滤除谐波的同时,实现了基波及基波正交分量的提取。考虑到基波频率对MAF性能的影响,将自适应陷波滤波器(adaptive notch filter,ANF)作为基波频率提取单元,得到电网畸变条件下基于MAF-ANF基波相位提取方法。该方法能够在电网电压畸变且谐波次数未知情况下实现基波相位的准确提取,同时能够快速跟踪频率突变。实验结果验证了该方法的有效性。During the Grid-connection of distributed generation systems such as wind farms and so on, it is necessary to make real-time detection of fundamental and instantaneous phase of power grid. The existence of harmonics with unknown orders in actual power grid is adverse to accurate phase-locking, for this reason by use of moving average filter （MAF） the extraction of fundamental components and orthogonal fundamental components in power grid can be implemented while harmonics are filtered. Considering the impact of fundamental frequency on MAF and taking adaptive notch filter （ANF） as the extracting unit of fundamental frequency, a MAF-ANF based method to extract fundamental phase under distortion occurred in power grid is obtained. Using the obtained method, the accurate extraction of fundamental phase under distorted grid voltage and harmonics with unknown orders existing in power grid can be implemented, meanwhile the abrupt variation of grid frequency can be fast tracked. Experimental results validate the effectiveness of the obtained method.

关 键 词：基波频率 瞬时相位 滑动平均滤波器 自适应陷波滤波器 谐波 

分 类 号：TM721[电气工程—电力系统及自动化]