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author:

Xu, Z. (Xu, Z..) [1] | Lin, H. (Lin, H..) [2] | Chen, J. (Chen, J..) [3] | Wen, B. (Wen, B..) [4] | Li, C. (Li, C..) [5]

Indexed by:

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:

Fire provention in power grid; Forest fire ranks; Fuzzy model identification; Power system operation

Community:

  • [ 1 ] [Xu, Z.]Technology Center of Fujian Electrical Power Company Limited, Fuzhou 350007, China
  • [ 2 ] [Xu, Z.]Electrical Engineering and Automation College of Fuzhou University, Minhou 350108, China
  • [ 3 ] [Lin, H.]Fujian Electrical Power Company Limited, Fuzhou 350005, China
  • [ 4 ] [Chen, J.]Fujian Electric Power Test and Research Institute, Fuzhou 350007, China
  • [ 5 ] [Wen, B.]Electrical Engineering and Automation College of Fuzhou University, Minhou 350108, China
  • [ 6 ] [Li, C.]Fujian Electric Power Test and Research Institute, Fuzhou 350007, China

Reprint 's Address:

  • [Xu, Z.]Technology Center of Fujian Electrical Power Company Limited, Fuzhou 350007, China

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Source :

Proceedings of the IASTED International Conference on Modelling, Simulation, and Identification, MSI 2009

Year: 2009

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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