电能质量扰动的递归定量分析

Recurrence Quantification Analysis for Power Quality Disturbance

为了准确识别各种电能质量扰动信号,针对电能质量扰动信号的非平稳特征,将递归定量分析(RQA)方法引入电能质量领域,对电压闪变、电压暂升、电压暂降、电压尖峰、振荡暂态及谐波背景下的电压闪变、电压尖峰等动态电能质量扰动信号进行研究。利用相空间重构理论,在高维相空间中展现出电能质量扰动信号的内在规律,用RQA方法提取扰动信号的非线性特征参数——递归率、确定率、分层度及熵,并以此构成特征相量对扰动信号进行识别。通过对几种典型的电能质量扰动信号的计算分析,表明各类扰动信号的定量递归特征相量互不相同,利用RQA的4项特征量可以对电能质量扰动信号进行有效识别。

In order to identify all kinds of power quality disturbance signals, for their non-stationary features, the recurrence quantification analysis method has been introduced into power quality field ,and dynamic power quality disturbance signals which are voltage flicker,voltage swell, voltage sag, voltage spike, oscillatory transients and voltage flicker,voltage swell under the background of harmonic have been researched. The inherent laws of power quality disturbance signals have been displayed in high-dimension phase space by phase space theory. Then the RQA method is used to extract the nonlinear characteristic parameters of disturbance signals that are recurrence rate, determinism rate, stratification and entropy, and they are used to constitute feature phasor to recognize disturbance signals. Calculating and analyzing some typical power quality disturbance signals shows that their recurrence quantitative feature phasor is different from each other, and through four characteristics of RQA, power quality disturbance signals can be recognized effectively.