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  • 标题:Fault Recognition in Electrical Power Networks Using Intelligent Techniques
  • 本地全文:下载
  • 作者:Alimorad Khajehzadeh ; Reza Seyedi Marghaki
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2016
  • 卷号:13
  • 期号:1
  • 出版社:IJCSI Press
  • 摘要:In this study intelligent hybrid formalism is presented to recognize faults in electrical power networks. The accurate and automatic recognition of faults in electrical power networks has vital importance. The goal of accurate and automatic recognition of faults in electrical power networks is to control and monitor the system that giving a security to final users for stable voltage and normal condition. To solve the fault recognition problem in power networks, it has been considered an hybrid use among optimization, state space and analytical approach by building a algorithm for its solution. The state space can determine the accurate direction of disturbance. The final task in fault recognition is done by optimization module and analytical module. In the proposed method, the location and class will be determined. To test the performance of proposed hybrid method, we used some electrical power networks. The obtained results show that the proposed method has high accuracy in fault recognition of electrical power networks.
  • 关键词:State space; fault; power network; optimization; recognition.
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