| 自适应和模糊推理结合的故障分类新方法 |
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| 引用本文： | 匡洪海,黄少先. 自适应和模糊推理结合的故障分类新方法[J]. 电力系统及其自动化学报, 2004, 16(6): 38-43 |
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| 作者姓名： | 匡洪海 黄少先 |
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| 作者单位： | 华南理工大学电力学院,广州,510640;华南理工大学电力学院,广州,510640 |
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| 摘 要： | 输电线上许多类型的故障伴随低阻抗故障和高阻抗故障发生,传统的保护方法不能正确地检测和分类.提出了一种基于自适应网络的模糊推理机制(ANFIS)对低阻抗故障和高阻抗故障进行故障检测和分类的新算法.算法的性能已得到韩国典型的154 kV输电线系统在各种故障条件下的测试.测试结果表明ANFIS能在半个周期内准确地检测故障和区分故障类型(包括低阻抗故障和高阻抗故障).
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| 关 键 词： | 自适应网络 模糊推理机制 故障分类 输电线 |
| 文章编号： | 1003-8930(2004)06-0038-06 |
| 修稿时间： | 2003-11-17 |
New Algorithm for Fault Classification Using Combination of Adaptive and Fuzzy Inference |
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| KUANG Hong-hai,HUANG Shao-xian. New Algorithm for Fault Classification Using Combination of Adaptive and Fuzzy Inference[J]. Proceedings of the CSU-EPSA, 2004, 16(6): 38-43 |
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| Authors: | KUANG Hong-hai HUANG Shao-xian |
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| Abstract: | Many different types of faults occur on transmission lines inter alia low impeda nce faults (LIF)and high impedance faults(HIF). Traditional methods are no longe r able to cope with accurate detection and classification of faults. This paper develops an algorithm of fault classification using the adaptive network-based fuzzy inference system (ANFIS). The performance of the proposed algorithm is eva luated for a typical 154 kV Korean transmission line system under various fault conditions. Test results show that the ANFIS can detect and classify faults incl uding (LIFs and HIFs) accurately within half a cycle. |
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| Keywords: | adaptive network fuzzy inference system fault c lassification transmission line |
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