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基于S变换模时频矩阵相似度的短时电能质量扰动分类

Classification of Short Duration Power Quality Disturbance Based on Module Time-Frequency Matrixes Similarity by S-Transform

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【作者】 刘守亮肖先勇杨洪耕

【Author】 LIU Shou-liang, XIAO Xian-yong, YANG Hong-geng (School of Electric Engineering & Information, Sichuan University, Chengdu 610065, Sichuan Province, China)

【机构】 四川大学电气信息学院四川大学电气信息学院 四川省成都市610065四川省成都市610065

【摘要】 提出了一种基于S变换模时频矩阵相似度的短时电能质量扰动分类方法。首先,建立各种扰动的标准模时频矩阵,然后计算扰动信号模时频矩阵与标准模时频矩阵的相似度,按照相似度最大的原则将扰动分类。该方法直接利用S变换结果,而不用增加其它算法或变换,原理简单、计算方便。仿真结果显示,该分类方法在不同噪声水平下均能达到满意的分类正确率,是一种有效的短时电能质量扰动分类方法。

【Abstract】 A classification method for short duration power quality disturbance (SDPQD) based on similarity of module time-frequency matrixes by S-transform is proposed. At first, the standard module time-frequency matrixes of SDPQD for voltage dips, swells, interruptions, harmonics, oscillatory transients, notches and spikes are constructed, then the similarity of disturbance signal’s module time-frequency matrixes to standard module time-frequency matrixes is calculated and according to the principle of maximum similarity the disturbances are classified. The proposed method can directly adopt the results of S-transform when other algorithms or transforms are not to be added, so it is simple in principle and easy to calculate. Simulation results show that with the proposed method a satisfied correctness of identification can be achieved, so it is an effective method to classify the SDPQD.

  • 【文献出处】 电网技术 ,Power System Technology , 编辑部邮箱 ,2006年05期
  • 【分类号】TM711
  • 【被引频次】102
  • 【下载频次】815
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