An artificial neural network model for predicting gas pipeline induced voltage caused by power lines under fault conditions

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

Volumn 24, Issue 1, 2005, Pages 69-80

  Al Alawi, S ^a   Al Badi, A ^a   Ellithy, K ^a  

^a SULTAN QABOOS UNIVERSITY   (Oman)

Author keywords

Electromagnetic fields; Neural nets; Pipelines

Indexed keywords

ELECTRIC FAULT CURRENTS; ELECTRIC LINES; ELECTRIC POTENTIAL; ELECTROMAGNETIC FIELDS; GAS PIPELINES; PERSONNEL; SOILS;

MITIGATION SYSTEMS; OPERATING PERSONNEL; RIGHT-OF-WAY (ROW); SOIL RESISTIVITY;

NEURAL NETWORKS;

EID: 18844426316     PISSN: 03321649     EISSN: None     Source Type: Journal    
DOI: 10.1108/03321640510571057     Document Type: Article

References (17)

1. Al-Alawi, S.M. and Ellithy, K.A. (2000), "Tuning of SVC damping controllers over a wide range of load models using an artificial neural network", International Journal of Electric Power & Energy Systems, Vol. 22 No. 6, pp. 405-20.
2. ANSI/IEEE Std. 80 (1986), IEEE Guide for Safety in AC Station Grounding.
3. Dawalibi, F.P. and Southy, R.D. (1999), "Analysis of electrical interference from power lines to gas pipelines. part I: computation methods", IEEE Transactions on Power Delivery, Vol. 4 No. 3, pp. 1840-6.
4. Ellithy, K. and Al-Badi, A.H. (2002), "Determining the electromagnetic interference effects on pipelines built in power transmission lines right of way", Proceedings: Vol. III of International Conference on Electrical Engineering (ICEE2002), pp. 1459-64.
5. El-Sharkawi, M. and Niebur, D. (1996), "Applications of artificial neural networks to power systems", IEEE Intelligent Systems Applications of Power Systems, Working Group IEEE, Catalog No. 96 TP 112-0.
6. EPRI EL-3106 (1983), "Power line-induced AC potential on natural gas pipelines for complex rights-of-way configuration", Vol. 2, Project 742-2 Final Report.
7. Garson, G.D. (1991), "Interpreting neural-network connection weights", AI Expert, Vol. 6 No. 7, pp. 47-51.
8. Goh, A.T.C. (1995), "Back-propagation neural networks for modeling complex systems", Artificial Intelligence in Engineering, Vol. 9, pp. 143-51.
9. Kirkpatrick, E.L. (1997), "Induced AC voltages on pipelines may present a serious hazard", Pipeline and Gas Journal.
10. Li, Y., Dawalibi, F.P. and Ma, J. (2000), "Electromagnetic interference caused by a power system network and a neighbouring pipeline", Proceedings of the 62nd Annual Meeting of the American Power Conference, Chicago, IL, 10-12 April, pp. 311-6.
11. NACE RP-0177 (1995), Mitigation of Alternating Current and Lighting Effects on Metallic Structures and Corrosion Control Systems.
12. NeuroShell™ (1996), Neural Network Shell 2 Program, 4th ed., Ward Systems Group, Inc., Frederick, MD.
13. Peabody, A.W. and Verhiel, A.L. (1970), "The effects of high voltage alternating current (HVAC) transmission lines on buried pipelines", paper presented at the Petroleum and Chemical Industry Conference, No. PCI-70-32, Tulsa, Oklahoma, 15 September.
14. Rumelhart, D.E. and McClelland, J.L. (1986), Parallel Distribution Processing: Exploration in the Microstructure of Cognition, Vol. 1, Foundations, MIT Press, Cambridge, MA.
15. Simpson, P.K. (1990), Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations, lst ed., Pergamon Press, Inc., Elmsford, NY.
16. Southey, R.D., Dawalibi, F.P. and Vukonich, W. (1994), "Recent advances in the mitigation of AC voltages occurring in pipelines located close to electric transmission lines", IEEE Transactions on Power Delivery, Vol. 9 No. 2, pp. 1090-7.
17. Stanley, J. (1990), Introduction to Neural Networks, 3rd ed., California Scientific Software, Sierra Madre, CA.