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文章摘要
基于随机滤波器算法的电力信号同步相位获取
Power singal Synchronization Phase Extraction Based on the Optimal Filtering Algorithm
Received:May 29, 2014  Revised:July 28, 2014
DOI:
中文关键词: 同步相位  卡尔曼滤波器  递推最小方差滤波器  最优滤波器
英文关键词: synchronization  phase  Kalman  filter  WLSE  filter  optimal  filter
基金项目:
Author NameAffiliationE-mail
CHEN Han-Jie College of Engineering,South China Agricultural University eeobserver@163.com 
SUN Zhen-Gang* College of Engineering,South China Agricultural University eezgsun@scau.edu.cn 
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中文摘要:
      本文提出了基于卡尔曼滤波器(Kalman filter)和递推最小方差滤波器(Weighted Least-Squares Estimation Filter,WLSE filter)的电力信号同步相位获取算法。首先建立了包含干燥噪声的单相和三相信号的数学模型,接着详细论述了Kalman filter和WLSE filter原理和提取同步相位的应用步骤。基于卡尔曼滤波器的单相同步信号获取算法能抑制噪声和干扰,基于递推最小方差滤波器能准确获取三相不平衡信号的正序和负序直流分量,以及正序分量的同步相位。最后,大量的仿真证明本文所提方法在干扰等情况下能准确和快速的获取同步相位,和常规方法相比,有一定的优越性。
英文摘要:
      The power signal’s synchronization phase extraction based on the Kalman filtering and Weighted Least Mean Squares filtering algorithm is proposed in this paper. The single-phase and three-phase voltage signal containing noise is modeled. Second, the principle of Kalman filter and WLSE filter is detail explained and the implementation steps are also presented. The synchronization approach based on Kalman filtering algorithm is able to suppress noise and disturbances. The synchronization approach based on WLSE filter algorithm precisely gets not only the positive and negtive DC components of three-phase unbalanced signal, but also the synchronization phase. Intensive simulation results verify that the prposed method can provide accurate instantaneous synchronization phase information under disturbances with a high dynamic speed. Compared with the tradtional synchronization methods, the proposed one has a better performace.
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