文章摘要
童晓阳,张绍迅,蒋凯.基于卡伦鲍厄变换的灰色关联度配电网故障识别方法[J].电力系统自动化. DOI: 10.7500/AEPS20180121002.
TONG Xiaoyang,ZHANG Shaoxun,JIANG Kai.The Fault Identification Method of Distribution Network Based on Grey Correlation Degree[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20180121002.
基于卡伦鲍厄变换的灰色关联度配电网故障识别方法
The Fault Identification Method of Distribution Network Based on Grey Correlation Degree
DOI:10.7500/AEPS20180121002
关键词: 配电网  故障定位  故障类型识别  灰色关联度  卡伦鲍厄相模变换
KeyWords: distribution network  fault location  fault type identification  grey correlation degree  Karrenbauer phase module transformation
上网日期:2019-01-09
基金项目:国家自然科学基金项目(51377137),四川省科技厅重点研发项目(2017GZ0054)
作者单位E-mail
童晓阳 西南交通大学 电气工程学院 xytong@swjtu.cn 
张绍迅 西南交通大学 电气工程学院 535208437@qq.com 
蒋凯 西南交通大学 电气工程学院 770642463@qq.com 
摘要:
      为了更全面准确地对配电网故障进行识别判断,本文提出一种基于灰色关联度的配电网故障区段定位和故障类型识别方法。采用卡伦鲍厄相模变换得到0模、α模、β模,计算各区段各模量在故障前后的幅值畸变度,选择变化较为明显的模量,构造反映区段故障的综合模电流作为特征序列,再计算各区段的特征序列与参考正常区段之间的灰色关联度,与门限值比较,确定故障区段。利用0模、α模和β模分量在故障前后的幅值畸变度,将故障初步分为单相接地、两相接地、相间短路故障三类。根据相模变换关系和不同类型故障的边界条件,选择不同的特征量进行灰色关联度计算,对计算结果分类处理,确定故障类型。在IEEE33节点配电网模型上的仿真实验,验证了本方法能够可靠准确地进行故障区段定位和故障类型识别,不受故障类型、接地电阻和故障相角的影响。
Abstract:
      To help the fault location and identification of distribution network, a novel method based on grey relation is proposed. Three phase currents are transformed into zero, α, β module by Karrenbauer matrix. Those modules which have noticeable changes will be selected to calculate composite module currents as feature sequences. The gray correlation degrees between the feature sequence of each section and reference sections are compared with thresholds to determine the fault section. According to the amplitude changes of zero, α, β module, the faults can be classified as single-phase earth fault, double-phase earth fault and interphase short circuit fault. The gray correlation degrees are calculated with the phase- module transformation and boundary condition of different types of faults. Then the fault types are identified. The simulation experiments on IEEE-33 bus distribution network model illustrate that this method can reliably locate fault and identify fault types, which are not affected by different fault types, grounding resistance and fault phase angle.
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