• DocumentCode
    3347677
  • Title

    Optimal Design of Grounding Grids Based on Genetic Algorithm

  • Author

    Yang Yi-min ; Peng Min-fang ; Hong Hai-tao ; Yuan Yue-hua

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    The ground resistance, the ground potential rise, touches and step voltages are the basic design quantities of the grounding grids. Such quantities greatly depend on the safety of grounding system. The aim being pursued is to minimize these mentioned quantities, while the safety restrictions required by the standard regulations are met. The innovative aspect of the proposed approach is the influences of reflective coefficient of two-layer soil and the thickness of upper-layer soil, the irregular grounding grid area are analyzed when using this approach for optimum grounding grid design. By discussing the genetic algorithm, architecture of multi-objective optimization design of substation grounding grids, optimal population size and terminal condition, the realization of the proposed strategy is expounded in this paper. Calculation shows that the method is feasible and the optimal results can minimize these mentioned quantities which are not subject to hierarchical structure of soil and irregular grounding area.
  • Keywords
    earthing; genetic algorithms; substations; genetic algorithm; grounding area; grounding grids; optimal designing; step voltages; substation grounding grids; two-layer soil coefficient; Algorithm design and analysis; Computational modeling; Design optimization; Genetic algorithms; Grid computing; Grounding; Image segmentation; Soil; Substations; Voltage; Multi-objective optimization; design; genetic algorithm; grounding grids; moment method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.58
  • Filename
    5402931