期刊文献+

遗传算法在电力系统故障诊断中应用及智能设计 被引量:1

The Application of Genetic Algorithm for Fault Diagnosis in Power System and Its Intelligence Design
下载PDF
导出
摘要 介绍了遗传算法及其在电力系统故障诊断中的应用,建立了基于遗传算法的模糊神经网络智能控制系统模型,并对模型的智能控制过程进行了分析,以故障分类算法为例,说明算法在电力故障诊断中的应用及其实现过程。 In this paper,the genetic algorithm and its application for fault diagnosis in power system are introduced. The control system module of fuzzy neural network intelligent base on genetic algorithm is designed and the process of intelligent control of the module is analyzed. It uses fault classification algorithm to illustrate how comprehensive algorithm application and achieving process for fault diagnosis in power system.
作者 曾素琼
出处 《嘉应学院学报》 2007年第6期67-72,共6页 Journal of Jiaying University
关键词 遗传算法 模糊理论 神经网络 故障诊断 genetic algorithm fuzzy theory neural network fault diagnosis
  • 相关文献

参考文献10

  • 1沟口理一郎 石田亨.人工智能[M].北京:科学出版社,2003.94-106.
  • 2倪远平.人工智能用于故障诊断的方法研究[J].电气传动自动化,1998,20(4):29-32. 被引量:6
  • 3余然.采用人工智能技术提高供电质量[J].国际电力,2000,4(3):51-53. 被引量:3
  • 4王耀南.智能控制系统-模糊逻辑-专家系统-神经网络控制[M].长沙:湖南大学出版社,2000.
  • 5LEE J B, LEE S J, KIM C H, et al. et al. A Study on the Development and Relaying Scheme Under High Resistance Earth Faults on HV, EHV Line[ R]. Electr Engng Sci Res Inst,1997.
  • 6陈皓.电力系统变电站实时故障诊断技术[J].中国电力,1999,32(5):43-45. 被引量:3
  • 7KIM C H, AHN S P. A study on the arc modeling in transmission lines using EMTP[ C ]. International Power Engineering Conference Singapore: 1999,52 - 57.
  • 8WEN Fush uan, HAN Zhe nxiang. Fault Section Estimation in Power Systems Using a Genetic Algorithm [ J]. Electric Power Systems Research, 1995,34 : 165 - 172.
  • 9LAI L L, SICHANIE A G, GWYN B J. Comparison Between Evolutionary Programming and a Genetic Algorithm for Fault - Section Estimation[ J ]. IEE Proceedings - Generation,Transmission and Distribution. 1998,145 (5) :616 - 620.
  • 10YEO SM, KIM C H, HONG K S, et al. A novel algorithm for fault classification in transmission lines using a combined adaptive network and fuzzy inference system[ C ]. Electrical Power and Energy. 2003,747 - 758.

二级参考文献2

共引文献12

同被引文献12

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部