电力系统频率的自适应跟踪算法  

Adaptive Frequency Tracking Algorithm for Power Systems

作　　者：麦瑞坤[1] 何正友[1] 何文[1] 符玲[1] 薄志谦[2] 钱清泉[1] 

机构地区：[1]西南交通大学电气工程学院,四川省成都市610031 [2]阿海珐输配电自动化有限公司

出　　处：《中国电机工程学报》2010年第16期73-78,共6页Proceedings of the CSEE

基　　金：国家自然科学青年基金项目(50877068);四川省杰出青年基金项目(06ZQ026-012);教育部优秀新世纪人才支持计划项目(NCET-06-0799)~~

摘　　要：在高噪声及动态条件下,传统算法的跟踪性能受到一定的影响,并可能出现振荡现象。为此,设计一种利用在线估计信号的噪声含量和动态特性来调节跟踪特性的算法,以提高频率跟踪性能。该算法通过克拉克变换将三相电压信号转化成一个相量,并利用有限冲击响应(finite impulse response,FIR)前置滤波器来抑制噪声影响。利用递归最小二乘滤波器来获得信号的相量估计值,此滤波器能够在动态状态下通过减小遗忘因子来得到快速跟踪性能,而在高噪声下通过增大遗忘因子来提高抗噪声性能。根据相邻两采样点的相角差来计算新的采样间隔。仿真结果表明,该算法能在动态和静态条件下都具有比传统算法更为优越的估计性能。Severe noise may distort the response of traditional frequency tracking algorithm and dynamic characteristic of signals may lead tracking frequency to appear oscillation. Therefore, a new frequency tracking algorithm is proposed to improve the performance under variable conditions via adaptively changing its setting according to the estimations of noise density and dynamic characteristics. Three-phase voltage signals are transformed into a phasor by Clarke transformation and then a finite impulse response （FIR） filter is employed to suppress noise, Then, a phasor estimation of supplied signals is attained by applying a recursive least-square filter, which reduces the forgetting factor to get a fast tracking ability under dynamic conditions and increase it to have a good noise rejection performance under severe noise condition. Finally, the sample time interval is calculated via the angle difference between the last two estimations. The simulations＇ results demonstrated that proposed algorithm is superior to the traditional one under both steady conditions and dynamic conditions.

关 键 词：自适应滤波 动态频率跟踪 遗忘因子 相量测量 电力系统 递归算法 

分 类 号：TM74[电气工程—电力系统及自动化]