• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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Volume 20 Issue 2
Apr.  2007
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Article Contents
WU Guangning, FU Longhai, WANG Hao, LI Jin. Optimal Design of Grounding Grid Based on Improved Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2007, 20(2): 169-174.
Citation: WU Guangning, FU Longhai, WANG Hao, LI Jin. Optimal Design of Grounding Grid Based on Improved Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2007, 20(2): 169-174.

Optimal Design of Grounding Grid Based on Improved Genetic Algorithm

  • Received Date: 29 Aug 2005
  • Publish Date: 25 Apr 2007
  • To decrease earth surface potential gradients and minimize the length of grid conductors, an optimization method was proposed, and an optimization model for grounding grids was presented.An improved genetic algorithm (GA) was applied to optimize the model, in which the fitness function, crossover and mutation probability were improved.This method was applied to the design of the grounding grid at traction substations of the Qinghai to Tibet railway.Simulation results show that this method can get optimal unequal-spaced grounding grids that conform to the safety voltage specifications with the quantity of construction reduced up to 50%.

     

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