摘要
针对统计评价的指标不能给出电压闪变具体参数的问题,将TLS-ESPRIT(总体最小二乘-旋转矢量不变技术)和AOK-TFR(自适应核最优时频分布)引入到电压闪变参数的求取中,闪变参数的提取可转化为求取一系列边频分量参数的问题。首先应用AOK-TFR进行闪变类型的判别,然后将电压信号数据形成的HANKEL矩阵通过奇异值分解进行信号子空间和噪声子空间的划分,通过TLS的再次消噪和抗干扰处理,提高了闪变参数提取的精度。仿真算例表明,在周期性和暂态电压闪变信号中,该方法仍具有较高的精度。实例分析进一步验证了该法的可行性和有效性。
Because International Electro Technical Commission standard can't get the parameters of flicker ,this paper obtains the parameters in TLS-ESPRIT(total least squares-estimation of signal parameters via rotational invariance technique) and AOK-TFR(adaptive kernel time-frequency distribution). This paper judges the type of voltage flicker according to AOK-TFR and applies TLS-ESPRIT to obtain the parameters of side-frequency. This method divides HANKEL matrix which is decomposed by singular value decomposition into signal subspace and noise subspace and is processed by TLS in computing, which improves the capacity of flicker parameters extracting. The simulation example demonstrates that this method is capable of high precision in periodical and transient flicker signals. The actual example proves that this method is feasible and available.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2009年第16期29-34,共6页
Power System Protection and Control
关键词
电压闪变
总体最小二乘-旋转矢量不变技术
奇异值分解
子空间划分
自适应核时频分布
voltage flicker
total least squares-estimation of signal parameters via rotational invariance technique
singular valuedecomposition
subspace-partition
adaptive optimal kernel time-frequency distribution