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作 者:鄢齐晨 缪希仁[1] 庄胜斌 YAN Qichen;MIAO Xiren;ZHUANG Shengbin(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China)
机构地区:[1]福州大学电气工程与自动化学院
出 处:《电器与能效管理技术》2020年第1期9-16,共8页Electrical & Energy Management Technology
基 金:国家自然科学基金项目(51377023);福建省高校产学合作项目(2019H600)
摘 要:为有效利用短路故障发生后电流剧增这一故障特征以实现对短路故障的准确识别,必须先对含噪信号进行滤波处理,在保留故障特征的同时削弱噪声影响。提出了一种组合平均广义形态滤波器,研究其对脉冲噪声、高频噪声、高斯白噪声的滤波效果,以及其对小波分解检测算法准确性的提升程度,得出组合平均广义形态滤波器可有效抑制以上3种噪声且显著提升了检测算法准确性的结论。将组合平均广义形态滤波器与中值、均值滤波方式进行横向比较,得出组合平均广义形态滤波器提升效果较佳的结论。实验表明,组合平均广义形态滤波器与小波分解法配合可使区分系数达到11.21,检测时间为0.35 ms,滤波延时仅为0.11 ms,具备短路故障快速检测的实时性和快速性特点,适用于低压配电系统短路故障快速检测和故障保护。In order to effectively utilize the fault characteristic of current surge after the occurrence of a short-circuit fault to achieve accurate identification of short-circuit faults,an effective filter must be designed to retain the fault feature while weakening the influence of noise.In this paper,a combined average generalized morphological filter was proposed to study its filtering effect on impulse noise,high frequency noise and Gauss white noise,as well as the improvement of the accuracy of the wavelet decomposition method.It is concluded that the combined average generalized morphological filter can effectively suppress the above three kinds of noise and significantly improve the accuracy of the detection algorithm.By comparing the combined average generalized morphological filter with the median filter and mean filter,the conclusion is drawn that the combined average generalized morphological filter has better lifting effect.The experiments show that the combination of combined average generalized morphological filter and wavelet decomposition method can make the lifting coefficient reach 11.21,the detection time costs 0.35 ms,and the filter delay only takes 0.11 ms.This combination has the real-time and rapid characteristics of fast detection of short-circuit faults,and is suitable for fast detection and fault protection applications of short-circuit faults in lowvoltage distribution systems.
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