KIEE International Transactions on Power Engineering

대한전기학회 (The Korean Institute of Electrical Engineers)
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Development of the ANN for the Estimation of Earth Parameter and Equivalent Resistivity

  • Ji Pyeong-Shik (Dept. of Electrical and Electronic Engineering, Chungju National University) ;
  • Lee Jong-Pil (Dept. of Electrical and Electronic Engineering, Chungbuk National University) ;
  • Shin Kwan-Woo (Dept. of Electrical and Electronic Engineering, Daeduk College) ;
  • Lim Jae-Yoon (Dept. of Electrical and Electronic Engineering, Kongju National University) ;
  • Kim Sung-Soo (Dept. of Electrical and Electronic Engineering, Chungbuk National University)
  • 발행 : 2005.12.01
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초록

Earth equipments are essential to protect humans and other types of equipment from abnormal conditions. Earth resistance and potential must be restricted within a low value. An estimation algorithm of earth parameters and equivalent resistivity is introduced to calculate reliable earth resistance in this research. The proposed algorithm is based on the relationship between apparent resistances and earth parameters. The proposed algorithm, which approximates the non-linear characteristics of earth by using the Artificial Neural Network (ANN), estimates the earth parameters and equivalent resistivity. The effectiveness of the proposed method is verified with case studies.

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참고문헌

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