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author:

Xu, Zhiguang (Xu, Zhiguang.) [1] | Lin, Han (Lin, Han.) [2] | Chen, Jinxiang (Chen, Jinxiang.) [3] | Wen, Buying (Wen, Buying.) [4] (Scholars:温步瀛) | Li, Chuandong (Li, Chuandong.) [5]

Indexed by:

EI Scopus

Abstract:

In view of Power Grid's information & policy vacancy of forest fire disaster, Fujian Power Grid brought in the prediction and monitor system for the forest fire along transmission lines. In order to reduce the loss of power system failure induced by forest fire, this paper aims to study on the fuzzy model identification applied in classifying forest fire ranks for power grid. The standard forest fire ranks database is founded, considering the effect of human fire behavior on classifying forest fire ranks. This paper puts forward a distance closeness degree method to identify the real-time forest fire ranks. Combind with transmission lines, the system will alarm the lines by forest fire ranks. It guarantees the grid be normal operation.

Keyword:

Behavioral research Classification (of information) Deforestation Electric lines Electric power transmission networks Fire hazards Fires Systems engineering

Community:

  • [ 1 ] [Xu, Zhiguang]Technology Center of Fujian Electrical Power Company Limited, Fuzhou 350007, China
  • [ 2 ] [Xu, Zhiguang]Electrical Engineering and Automation College of Fuzhou University, Minhou 350108, China
  • [ 3 ] [Lin, Han]Fujian Electrical Power Company Limited, Fuzhou 350005, China
  • [ 4 ] [Chen, Jinxiang]Fujian Electric Power Test and Research Institute, Fuzhou 350007, China
  • [ 5 ] [Wen, Buying]Electrical Engineering and Automation College of Fuzhou University, Minhou 350108, China
  • [ 6 ] [Li, Chuandong]Fujian Electric Power Test and Research Institute, Fuzhou 350007, China

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Year: 2009

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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