| 基于ANFIS的特高压输电线路故障分类识别方法 |
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| 引用本文： | 林圣,何正友,陈双,钱清泉.基于ANFIS的特高压输电线路故障分类识别方法[J].西南交通大学学报,2011,46(4):611-619. |
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| 作者姓名： | 林圣 何正友 陈双 钱清泉 |
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| 作者单位： | 西南交通大学电气工程学院,四川成都,610031 |
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| 基金项目： | 国家自然科学基金资助项目(50877068); 中央高校基本科研业务费专项资金资助项目(2010XS11) |
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| 摘 要： | 提出了一种基于自适应神经模糊推理系统(ANFIS)的特高压输电线路故障分类识别方法,以分类识别10种常见的输电线路故障.该方法以故障后1个工频周期内故障电流分量的标准差和四分位距作为故障分类识别的特征量.分析了噪声和谐波对这2个特征量的影响;建立了基于ANFIS的故障分类识别模型.大量仿真试验表明:提出的故障分类识别方法能快速、准确地识别各类故障,并且不易受故障初始角、故障位置和过渡电阻的影响,对噪声、谐波、电流互感器传变特性及采样频率有良好的适应性,分类识别正确率能达到99.5%.
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| 关 键 词： | 自适应神经模糊推理系统 故障分类 特征提取 特高压输电线路 适应性 |
ANFIS-Based Fault Classification Approach for UHV Transmission Lines |
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| LIN Sheng,HE Zhengyou,CHEN Shuang,QIAN Qingquan.ANFIS-Based Fault Classification Approach for UHV Transmission Lines[J].Journal of Southwest Jiaotong University,2011,46(4):611-619. |
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| Authors: | LIN Sheng HE Zhengyou CHEN Shuang QIAN Qingquan |
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| Institution: | LIN Sheng,HE Zhengyou,CHEN Shuang,QIAN Qingquan(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China) |
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| Abstract: | A novel fault type classification approach for ultra-high voltage(UHV) transmission lines was proposed based on the adaptive-network-based fuzzy inference system(ANFIS) to distinguish the ten common fault types,including single line to ground faults,line to line to ground faults,line to line faults,and three-phase fault.In this approach,the standard deviation and inter-quartile range of fault components of one cycle post-fault-current are taken as the characteristic quantities of fault classification.The in... |
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| Keywords: | adaptive-network-based fuzzy inference system(ANFIS) fault type classification feature extracting ultra-high voltage transmission line adaptability |
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