基于改进能量算子和K-RV互卷积窗的闪变参数检测*
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TM930.1 TH701

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国家自然科学基金(51777061)、湖南省自然科学基金(2016JJ2022)、中国博士后科学基金(2016M602405)、贵州电网科技项目(GZKJXM20171048)资助


Flicker parameter detection based on improved energy operator and K-RV mutual convolution window
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    摘要:

    IEC标准61000415推荐采用正弦波和矩形波两种波形对闪变仪检验,目前电压闪变检测研究主要针对正弦波调制模型,而人眼更加敏感的矩形波调制下的闪变快速准确检测研究较少。针对矩形波调制下的闪变快速准确检测,建立基于间隔采样改进能量算子的波动分量提取算法,构建新型优化KRV互卷积窗函数,推导基于新型KRV互卷积窗三谱线改进快速傅里叶变换(FFT)谱分析方法,据此提出基于改进能量算子新型KRV互卷积窗的矩形波调制闪变检测方法,开发基于PXI+LabVIEW架构的电压闪变参数检测平台。仿真与实验结果表明,所提出的算法在简单矩形波调制、多频率调制、含有各类谐波干扰、电网基波频率变动及含有噪声干扰情况下,均能有效实现闪变的准确检测与分析,相比传统方法具有更高的准确度。

    Abstract:

    The IEC standard 61000415 recommends that the sinusoidal and rectangular wave modulations are used to test flicker meter. At present, the researches on voltage flicker detection mainly focus on the sinusoidal wave modulation model, while there are few researches on the quick and accurate detection of the flicker under rectangular wave modulation that is more sensitive to human eyes. Aiming at the quick and accurate detection of the flicker under rectangular wave modulation, a fluctuation component extraction algorithm based on interval sampling improved energy operator is established and a new optimized KRV mutual convolution window function is built. An improved fast Fourier transformation (FFT) spectrum analysis method based on the threespectral line interpolation and new KRV deconvolution window is also derived. Based on this, the flicker detection method with rectangular wave modulation based on improved energy operator and new KRV mutual convolution window is proposed in this paper, and the voltage flicker parameter detection platform based on PXI + LabVIEW architecture is developed. The simulation and experiment results show that the proposed algorithm can effectively realize accurate detection and analysis of the flicker, and has higher accuracy compared with the traditional method in the cases of simple rectangular wave modulation, multifrequency modulation, containing all kinds of harmonic interferences, network fundamental frequency deviation and containing noise interference.

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吴聪,高云鹏,张韵琦,滕召胜,周良璋.基于改进能量算子和K-RV互卷积窗的闪变参数检测*[J].仪器仪表学报,2019,40(4):69-76

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  • 在线发布日期: 2022-01-17
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