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Determination of Multilayer Earth Model Using Genetic Algorithm

  • Kang, Min-Jae (School of Electrical & Electronic Engineering, Research Institute of Advanced Technology, Cheju National University) ;
  • Boo, Chang-Jin (School of Electrical & Electronic Engineering, Research Institute of Advanced Technology, Cheju National University) ;
  • Kim, Ho-Chan (School of Electrical & Electronic Engineering, Research Institute of Advanced Technology, Cheju National University)
  • Published : 2007.09.01

Abstract

In this paper a methodology has been proposed to compute the parameters of the multilayer earth model using a genetic algorithm(GA). The results provided by the GA constitute the indispensable data that can be used in circuital or field simulations of grounding systems. This methodology allows to proceed toward a very efficient simulation of the grounding system and an accurate calculation of potential on the ground's surface. The sets of soil resistivity used for GA are measured in Jeju area.

Keywords

References

  1. R. Tagg, G.F., Earth Resistance, London, U.K.: George Newnes Ltd., 1964
  2. IEEE Guide for Measuring Earth Resistivity, Ground Impedance, and Earth Surface Potentials of a Ground System, IEEE Std. 81-1983, Mar. 11, 1983
  3. T. Takahashi and T. Kawase, 'Analysis of apparent resistivity in a multi-layer earth structure,' IEEE Trans. Power Del., vol. 5, no. 1, pp. 604-612, 1990 https://doi.org/10.1109/61.53062
  4. T. Takahashi and T. Kawase, 'Calculation of earth resistance for deep-driven rod in multi-layer earth structure,' IEEE Trans. Power Del., vol. 6, no. 1, pp. 608-614, 1991 https://doi.org/10.1109/61.131118
  5. F.P. Dawalibi and C.J. Blattner, 'Earth resistivity measurement interpretation techniques,' IEEE Trans. Power App. Syst., vol. PAS-103, no. 1, pp. 374-382, 1984 https://doi.org/10.1109/TPAS.1984.318254
  6. J.L.D. Alamo, 'A comparison among eight different techniques to achieve an optimum estimation of electrical grounding parameters in two-layered earth,' IEEE Trans. Power Del., vol. 8, no. 4, pp. 1890-1899, 1993 https://doi.org/10.1109/61.248299
  7. I.F. Gonos, Transient behavior of grounding system, Ph.D. dissertation, Nat. Tech. Univ. Athens, Greece, 2002
  8. P.J. Lagace, J. Fortin, and E.D. Crainic, 'Interpretation of resistivity sounding measurements in N-layer soil using electrostatics images,' IEEE Trans. Power Del., vol. 11, no. 3, pp. 1349-1354,1996 https://doi.org/10.1109/61.517490
  9. H. Holland, Adaptation in Nature and Artificial Systems, Ann Arbor, MI: Univ. Michigan Press, 1992
  10. I.F. Gonos, N.E. Mastorakis, and M.N.S. Swamy, 'A genetic algorithm approach to the problem of factorization of general multidimensional polynomials,' IEEE Trans. Circuits and Syst., pt. 1, vol. 50, no. 1, pp. 16-22, 2003 https://doi.org/10.1109/TCSI.2002.807503
  11. I.F. Gonos and I.A. Stathopulos, 'Estimation of multilayer soil parameters using genetic algorithm,' IEEE Trans. Power Del., vol. 20, no. 1, pp. 100-106, 2005 https://doi.org/10.1109/TPWRD.2004.836833
  12. B. Chen, Theory and Arithmetic of Optimization, Beijing, Tsinghus University Press, 1989
  13. J. Zou, J.L. He, R. Zeng, W.M. Sun, G. Yu, and S.M. Chen, 'Two-stage algorithm for inverting structure parameters of the horizontal multilayer soil,' IEEE Trans. Magnetics, vol. 40, no. 2, pp. 1136-1139, 2004 https://doi.org/10.1109/TMAG.2004.825013