• DocumentCode
    1595130
  • Title

    Optimization Design of Substation Grounding Grid Based on Genetic Algorithm

  • Author

    He, Zhiqiang ; Wen, Xishan ; Wang, Jianwu

  • Author_Institution
    Wuhan Univ., Wuhan
  • Volume
    4
  • fYear
    2007
  • Firstpage
    140
  • Lastpage
    144
  • Abstract
    With the incessant increase of power system capacity and voltage grade, the safety of grounding grid becomes more and more prominent. How better uniform the surface potential distribution of grounding grid; how to ensure the safety of equipment and personal has become one of the most important topics of grounding researchers who has been working hard to resolve the problem. Based on the electromagnetic field(EMF) and circuit combining theoretical, the paper studies the numerical calculation of grounding grid parameters, and make use of genetic algorithm studies optimization design of the grounding grid, under the condition of that the most touch potential of grounding grid is less than IEEE guide provision value to optimize grounding grid design. Due to genetic algorithm aim to operate coding set of the problem variables, thus maintain a good integrity of variable. Calculation shows that the calculation method is feasible and obtain optimal results which is not subject to hierarchical structure of soil.
  • Keywords
    genetic algorithms; substations; electromagnetic field; genetic algorithm; optimization design; power system capacity; substation grounding grid; Algorithm design and analysis; Circuits; Design optimization; Genetic algorithms; Grounding; Power systems; Safety devices; Soil; Substations; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.523
  • Filename
    4344658