西南交通大学学报2011，Vol.46Issue(4)：611-619,9.DOI:10.3969/j.issn.0258-2724.2011.04.014
基于ANFIS的特高压输电线路故障分类识别方法
ANFIS-Based Fault Classification Approach for UHV Transmission Lines
摘要
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 influence of noise and harmonic on the characteristic quantities was analyzed. A fault classification model based on the ANFIS was established. A large number of simulations were carried out in PSCAD/EMTDC ( power systems computer aided design/electromagnetic transients including direct current). The results indicate that the proposed approach is capable to identify fault types fast with a high accuracy up to 99.5%. Furthermore, the approach is insensitive to different fault initial angles, fault distances and fault resistances and has a good adaptability for different noise levels, harmonics, transform characteristics of current transformer (CT) and sampling frequencies.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Key words
adaptive-network-based fuzzy inference system ( ANFIS) / fault type classification/ feature extracting/ ultra-high voltage transmission line/ adaptability分类
信息技术与安全科学引用本文复制引用
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):611-619,9.基金项目
国家自然科学基金资助项目(50877068) （50877068）
中央高校基本科研业务费专项资金资助项目(2010XS1l) （2010XS1l）
