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大型企业电网随机谐振故障及诊断方法的研究

THE STUDY OF FAULT DIAGNOSIS ON RESONANCE IN POWER SYSTEM OF LARGE ENTERPRISE
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摘要 现代化生产使得大型企业对电网的安全稳定运行和电网故障的快速准确判断的要求越来越高。本文对电网的随机谐振故障进行系统的分析,同时也将目前电网故障诊断方法的优劣进行比较,分析总结电网故障诊断面临的问题与将来的发展趋势。 Large enterprise needs safer and safer power network with the highly development of modem social economic. It is necessary to find exact fault diagnosis method to keep network safe In this paper, we mainly studied resonance fault and how to deal it in power system.
作者 游芳 武良丹 张艳军
机构地区 九江学院电子工程学院 九江学院信息科学与技术学院
出处 《九江学院学报》 2008年第6期44-48,共5页 JOurnal of Jiujiang University :Social Science Edition
基金 九江学院校级重点资助项目<基于模糊专家系统的大型企业电网谐振故障诊断>课题号08kj4
关键词 电网 故障诊断 模糊专家系统 随机谐振 power system fault diagnosis resonance fuzzy expert system
分类号 TP277 [自动化与计算机技术—检测技术与自动化装置] TM711 [电气工程—电力系统及自动化]
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  • 1Chantler M, Pogliano P, Aldea A. The Use of Fault-Recorder Data for Diagnosing Timing and Other Related Faults in Electricity Trans Networks[J]. IEEE Trans on Power Systems, 2000, 15(4).
  • 2JUNG Juh-wan, LIU Chen-ching, HONG Ming-guo. Multiple Hypotheses and Their Credibility in On-line Fault Diagnosis[J]. IEEE Trans on Power Delivery, 2001, 16(2).
  • 3CHEN Wen-Hui, LIU Chih-wen, TSAI Men-shen. On-Line Fault Diagnosis of Distribution Substations Using Hybrid Cause-effect Network and Fuzzy Rule-based Method[J]. IEEE Trans on Power Delivery, 2000, 15(2).
  • 4Ouali M S, Ait-Kadi D, Rezg N. Fault Diagnosis Model Based on Petri Net with Fuzzy Colors[A]. Proceedings of the 24th International Conference on Computers and Industrial Engineering, 1999.
  • 5Lee Heung-jae,Ahn Bok-shin,Park Young-moon.A Fault Diagnosis Expert System for Distribution Substation[J]. IEEE Trans on Power Delivery, 2000, 15(1).
  • 6Pietro B, Ulrico C G. Fault Diagnosis Through History Reconstruction: an Application to Power Transmission Networks[J]. Expert Systems with Applications, 1997, 12(1): 37-52.
  • 7Narendra K G, Sood V K, Khorasani K. Application of a Radial Basis Function (RBF) Neural Network for Fault Diagnosis in a HVDC System[J]. IEEE Trans on Power Systems, 1998, 13(1).
  • 8Sun Y, Jiang H, Wang D. Fault Synthetic Recognition for an EHV Transmission Line Using a Group of Neural Networks with a Time-space Property[J]. IEE Proc--Gener, Transm, Distrib, 1998, 145(3).
  • 9Fukui C, Kawakami J. An Expert System for Fault Section Estimation Using Information from Protective Relays and Circuit Breakers[J]. IEEE Trans on PWRD, 1986, 1(4): 83-90.
  • 10Park Y M, Kim G W, Sohn J M. A Logic Based Expert System(LBES) for Fault Diagnosis of Power System[J]. IEEE Trans on Power Systems, 1997, 12(1).

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九江学院学报
2008年 第6期

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