| Title |
Dynamic Line Rating Prediction in Overhead Transmission Lines Using Artificial Neural Network |
| Authors |
Shin-Eui Noh ; Yi-Gwhan Kim ; Sung-Hun Lim ; Il-Dong Kim |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2014.28.1.079 |
| Keywords |
Overhead Transmission Line ; Allowable Transmission Capacity ; Dynamic Line Rating(DLR) ; Artificial Neural Network |
| Abstract |
With the increase of demand for electricity power, new construction and expansion of transmission lines for transport have been required. However, it has been difficult to be realized by such opposition from environmental groups and residents. Therefore, the development of techniques for effective use of existing transmission lines is more needed. In this paper, the major variables to affect the allowable transmission capacity in an overhead transmission lines were selected and the dynamic line rating (DLR) method using artificial neural networks reflecting unique environment-heat properties was proposed. To prove the proposed method, the analyzed results using the artificial neural network were compared with the ones obtained from the existing method. The analyzed results using the proposed method showed an error of 0.9% within ±, which was to be practicable. |