摘要
针对现有变步长最小均方(LMS)广义谐波电流检测不能消除同频谐波电流和基波无功电流对步长更新的干扰,以及对跃变的系统跟踪能力差的问题,文中提出一种基于箕舌线函数的变步长LMS谐波电流检测算法。该算法采用将当前时刻负载电流减去滤波器输出的误差信号与参考输入信号的瞬时互相关时间均值估计来消除基波无功电流和谐波电流的干扰,并通过改进的箕舌线函数来调节算法的步长,从而在保证动态响应时间不增大的前提下,使算法具有更小的稳态误差,对跃变的系统具有较强的跟踪能力,且其参数的取值对负载电流大小的依赖性较小。计算机仿真结果证实了该方法的有效性。
In view of the inability of the existing variable-step least mean square （LMS） harmonic current detection to eliminate the interference of the common frequency harmonic current and fundamental reactive current with step update plus the poor tracking ability of the jump system, a variable-step LMS harmonic current detection algorithm based on the versiera function is proposed. The algorithm eliminates the interference of the fundamental reactive current and harmonic current using the time mean estimate of the instantaneous cross-correlation between the reference input signal and the error signal at the moment which is obtained by subtracting the filter output from the load current. The modified versiera function is used to adjust the algorithm step, thereby ensuring that the dynamic response time is not increased. This method has not only a smaller steady state error, a better tracking ability of the jump system, but also its parameter value is less dependent on the size of the load current. Computer simulation results demonstrate the validity of the proposed method. This work is supported by National Natural Science Foundation of China （No. 61271340, No. 61071183）, Youth Science and Technology Foundation of Sichuan Province （No. 2012JQ0046） and the Fundamental Research Funds for the Central Universities （No. SWJTU12CX026）.
出处
《电力系统自动化》
EI
CSCD
北大核心
2013年第22期54-59,共6页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(61271340
61071183)
四川省青年科技基金资助项目(2012JQ0046)
中央高校基本科研业务费专项资金资助项目(SWJTU12CX026)~~
关键词
自适应滤波
谐波电流检测
最小均方算法
变步长
箕舌线函数
adaptive filter
harmonic current detection
least mean square （LMS） algorithm
variable-size
versiera function
