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基于电流电压小波包络熵权的电压暂降源定位方法

Voltage Sag Source Location Method Based on Current-Voltage Wavelet Envelope Entropy Weight

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【作者】 臧禹吕干云褚晨杰徐晓东曹彬章心因

【Author】 ZANG Yu;LYU Gan-yun;CHU Chen-jie;XU Xiao-dong;CAO Bin;ZHANG Xin-yin;School of Electric Power Engineering, Nanjing Institute of Technology;

【通讯作者】 吕干云;

【机构】 南京工程学院电力工程学院

【摘要】 为了正确定位电压暂降扰动源位置,提出一种基于暂降包络信号熵权信息的电压暂降源定位方法.首先采用离散化小波变换和归一化方法对系统监测点电流、电压数据进行处理,形成电流、电压包络序列,然后对各监测点电流、电压包络序列进行熵权分析,最后结合熵权法的定位判据,实现电压暂降源定位.该方法结合小波变换和熵权法,在形成各监测点电流、电压离散化包络信号序列的基础上结合熵权法定位判据,实现对电压暂降源的准确定位.对Simulink中IEEE 33节点系统进行仿真试验,结果表明,与单一判据的电压暂降源定位方法相比,该方法具有更高的定位准确率.

【Abstract】 A method for voltage sag source location based on entropy weight information of sag envelope signals is proposed, aimed at precise locations of disturbance source of the voltage sag. First, discrete wavelet transform and normalization method are applied to process the current and voltage data of the monitoring points of the system to form a current and voltage envelope sequence, then the current and voltage envelope sequence of each monitoring point is analyzed by using entropy weight. Finally, positioning of the entropy weight method Criterion is adopted to locate the source of voltage sag. This method is designed for exact location of the voltage sag source by means of wavelet transform method and entropy method on the basis of voltage discretization envelope signal sequence of each monitoring point. The simulation experiment of the IEEE 33 node system in Simulink shows that the proposed method has a higher positioning accuracy than the single-criterion voltage sag source positioning method.

【基金】 国家自然科学基金项目(51577086);江苏“六大人才高峰”项目(2016-XNY027,TD-XNY004);江苏省高等学校自然科学研究重大项目(2019052);国家电网公司科技项目;南京工程学院在职博士资助项目(ZKJ201705)
  • 【文献出处】 南京工程学院学报(自然科学版) ,Journal of Nanjing Institute of Technology(Natural Science Edition) , 编辑部邮箱 ,2020年04期
  • 【分类号】TM714.2
  • 【被引频次】2
  • 【下载频次】109
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