| 引用本文: | 邓志勇,彭晓亮,陈俊,唐曲.ITD算法在电能质量扰动信号特征量提取中的应用[J].电力系统保护与控制,2016,44(7):32-38.[点击复制] |
| DENG Zhiyong,PENG Xiaoliang,CHEN Jun,TANG Qu.Application of feature extraction of power quality disturbance signal using ITD[J].Power System Protection and Control,2016,44(7):32-38[点击复制] |
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| 摘要: |
| 针对电能质量扰动信号非线性特点，采用固有时间尺度分解算法(Intrinsic Time-scale Decomposition, ITD)准确快速地提取电能质量扰动信号的幅值、频率、相位、衰减因子、扰动起止时刻等特征量。首先利用固有时间尺度分解算法提取电压扰动信号的固有旋转分量(Proper Rotation Component, PRC)。然后对PRC分量进行Hilbert变换求取相位和瞬时频率，根据高频突变点得到扰动起止时刻；由包络函数得到扰动信号的幅值，并计算衰减因子。运用Matlab对单一和复合扰动信号进行仿真计算，结果表明该方法能准确地识别电能质量扰动信号的特征量，具有抗噪能力，验证了所提方法的实时性和可行性。 |
| 关键词: 电能质量 扰动信号 固有时间尺度分解 瞬时频率 固有旋转分量 |
| DOI：10.7667/PSPC150811 |
| 投稿时间：2015-05-13修订日期：2015-11-25 |
| 基金项目: |
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| Application of feature extraction of power quality disturbance signal using ITD |
| DENG Zhiyong,PENG Xiaoliang,CHEN Jun,TANG Qu |
| (Hunan Power Engineering Company, Hengyang 421000, China) |
| Abstract: |
| For non-linear characteristics of power quality disturbance signal, the characteristic parameters of power quality disturbance signal such as amplitude, frequency, phase, attenuation factor and the starting and ending time of the disturbance can be quickly and accurately extracted by intrinsic time-scale decomposition. Firstly, voltage disturbance signals are decomposed into proper rotation component (PRC) by intrinsic time-scale decomposition algorithm. To apply the Hilbert transform to get phase and instantaneous frequency of PRC components, then according to hyper mutation of instantaneous frequency, the starting and ending time of the disturbance are got; the envelope function is utilized to calculate amplitude and the attenuation factor. Utilizing Matlab, simulations of single disturbance signal and mixed disturbance signals are done and calculation results show that this method can accurately identify power quality disturbance signal parameters and anti-noise performance. The timeliness and feasibility of the proposed method is verified. |
| Key words: power quality disturbance signal intrinsic time-scale decomposition instantaneous frequency proper rotation component |
