牛胜锁;王康乐;梁志瑞;

• 1:华北电力大学电气与电子工程学院

摘要(Abstract)：

快速准确地获得电力信号的频率、幅值和相角,对于同步相量测量技术在配电网中的推广应用具有重要意义。配电网信号具有高噪声、强瞬变等特点,应用目前的算法在实时跟踪瞬变信号方面,其性能不太理想。针对强瞬变环境下的信号参数估计问题展开分析,提出一种改进的强跟踪无迹卡尔曼滤波(modified strong tracking unscented Kalman filter,MSTUKF)算法。首先分析了强跟踪滤波算法(strong tracking filter,STF)的基本原理,然后基于无损变换理论,对STF算法进行等价推导。在此基础上,针对状态方程为线性,量测方程为非线性的情况,提出一种在频率、幅值和相角突变时的快速跟踪算法。在sigma点集中引入渐消因子,使得算法仅需进行一次无损变换,简化了计算。同时将渐消因子引入输出协方差矩阵,改善算法在系统参数突变时的稳定性。仿真结果表明,所提同步相量测量算法能快速地对频率、幅值和相角进行跟踪,并且收敛性好、测量精度高。

关键词(KeyWords)： 相量估计;强瞬变;STF滤波算法;无损变换;渐消因子

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2017YFB0902901)~~

作者(Author): 牛胜锁;王康乐;梁志瑞;

Email:

DOI: 10.13335/j.1000-3673.pst.2018.2814

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