Browse > Article
http://dx.doi.org/10.5207/JIEIE.2003.17.4.057

Diagnosis of Deterioration Grades for Overhead Transmission Lines using Adaptive Neuro-Fuzzy Inference System  

김성덕 (한밭대학교 전기·전자·제어공학부)
이상래 (한밭대학교 전기·전자·제어공학부)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.17, no.4, 2003 , pp. 57-63 More about this Journal
Abstract
Aluminum Stranded Conductors Steel Reinforced (ACSR) in overhead transmission lines have slowly degraded due to pollutants in the air for a long period of time, so in the 2000, a number of them has been exceeded over their forecasted useful life. Since most of them are faced with assessment their present conditions in regard to economical maintenance, in this paper, we have suggested a method in order to evaluate the current condition of aged conductors by using dominant parameters such as elapsed years, environment index, and conductor configuration. A diagnostic system for predicting the deterioration grades corresponding to the lifetime of aged conductors is described, which is designed as an Adaptive Neuro-fuzzy Inference System (ANFIS) based on knowledge and experiences of experts. Applying this diagnostic system to practical transmission lines in domestic, it is shown that the system can be effectively used as a guide to perform nondestructive diagnosis and economical operation for old ACSR conductors.
Keywords
ACSR; Deterioration Diagnosis; Adaptive Neuro-fuzzy Inference System;
Citations & Related Records
연도 인용수 순위
  • Reference
1 R.L. Jackson, R.R. Gibbon, J.M. Ferguson and K.G. Lewis, “The Condition of the supergrid and a strategy for refurbishment”, International Conference on Revitalizing Transmission and Distribution ystems, pp. 44-48, 1987.
2 D.G. Harvard et al, “Aged ACSR conductors II: Prediction of remaining life”, IEEE Trans. on Power Delivery, Vol. 7, No. 2, pp. 582-595, 1992.   DOI   ScienceOn
3 J. Sutton and K.G. Lewis, “The detection of internal corrosion in steel reinforced aluminum overhead power line conductors”, U.K. Corrosion, pp.343-359, 1986.
4 M.F. Ishac, I.F. Boulos, A.P. Goel and D.J. Horrocks, “Life extension of an existing transmission line”, The Seventh international Conference on Transmission and Distribution Construction and Live Line Maintenance, pp. 17-23, Ohio, OH, 1995.
5 K. Adomah, Y. Mizuno and K. Naito, “Probabilistic assessment of the reduction in tensile strength of an overhead transmission lines conductor with reference to climatic data”, IEEE ESMO 98 Proceedings, pp. 161-166, Orlando, FL, 1998.   DOI
6 D.R. Shannon, Life Expectancy of ACSR Conductors under Live Line and Off-Line Conditions, Shannon Tech. Corp., Technical Report, http://www.shannontechnology.com /corrosion.html.
7 L.I. Persson, “Corrosion attack in mid-span joints in ACSR transmission conductors”, CIRED 1989, 10th International Conf. on Electricity Distribution, Vol. 3, pp. 259-261, 1989.
8 D.L. Rudolph, “A systematic approach to the replacement of an aging distribution system”, 1997 IEEE Rural Electric Power Conference, A4.1-8, Minneapolis MN, 1997.   DOI
9 Internal Corrosion Detector using Eddy Current Method in Transmission Lines, Tohoku Electric Power Co. and Fujikura Research Center, Technical Report, 1992.
10 J.S.R. Jang, C.T. Sun, and E. Mizutani, Neuro-fuzzy and Soft Computing : A Computational Approach to Learning and Machine Intelligence, Prentice_Hall, 1997.