Development of power transformer thermal models for oil temperature prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1803, Issue , 2000, Pages 195-204

  Tang, W H ^a   Zeng, H ^b   Nuttall, K I ^a   Richardson, Z ^c   Simonson, E ^c   Wu, Q H ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b ELECTRIC POWER RESEARCH INSTITUTE   (China)

^c NATIONAL GRID   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; GENETIC PROGRAMMING; NEURAL NETWORKS; OIL FILLED TRANSFORMERS; ROBOT PROGRAMMING; ROBOTICS; SCHEDULING; SIGNAL PROCESSING; THERMOGRAPHY (TEMPERATURE MEASUREMENT);

INTELLIGENT LEARNING; MODEL CONSTRUCTION; OIL TEMPERATURE; ON-SITE MEASUREMENT; ONLINE MONITORING; THERMAL PERFORMANCE; TOP OIL TEMPERATURE; TRANSFORMER THERMAL MODELS;

POWER TRANSFORMERS;

EID: 84958663024     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45561-2_19     Document Type: Conference Paper

References (13)

1. J. H. Provanzana, P. R. Gattens, Transformer condition monitoring realizing an intergrated adaptive analysis system, CIGRE 1992 session, 30 Agust-5 September.
2. T. Leibfried, W. Knorr, K. Viereck, On-line montoring of power transformerstrends, new development and first experiences, CIGRE 1998 session.
3. I. J. Kemp, Partial discharge plant-monitoring technology: Present and future developments, IEE Proceedings-Science, Measurement and Technology, vol.142, no.1, January 1995, pp.4-10.
4. James, L. et al, Model-based monitoring of transformers, Massachusetts Institute of Technology, Laboratory for Electromagnetic and Electronic Systems, 1995.
5. Transformers Committee of the IEEE Power Engineering Society, IEEE guide to loading mineral oil-immersed transformer, IEEE Std C57.115-1991, The Institute of Electrical and Electronics Engineers, Inc., 1991, 345 East 47th Street, New York, NY 10017, USA.
6. International electrotechnical commission, IEC354-loading guide for oil-immersed power transformers, equivalent to GB/T 15164-94 (Chinese Standard), 1991, Genève, Suisse.
7. Chinese standards board, GB1094-85, power transformers-Part 2: Temperature rise, 1985.
8. S. Q. Xu, Operation of power transformers, Chinese Electric Power Publisher, June 1993.
9. Q. H. Wu, J. T. Ma, Power system optimal reactive dispatch using evolutionary programming, IEEE Trans on Power Systems, vol.10, no.3, 1995, pp.1243-1249.
10. Q. H. Wu, Y. J. Cao, J. Y. Wen, Optimal reactive power dispatch using an adaptive genetic algorithm, International Journal of Electrical Power and Energy Systems, vol.20, no.8, 1998, pp.563-569.
11. J. T. Ma, Q. H. Wu, Generator parameter identification using evolutionary programming, International Journal of Electrical Power and Energy Systems, vol.17, no.6, 1995, pp.417-423.
12. P. Pillay, R. Nolan, Application of genetic algorithms to motor parameter determination for transient torque calculations, IEEE Transactions on Industry Applications, vol.33, no.5, September/October 1997, pp.1273-1282.
13. M. R. Zaman, Experimental testing of the artificial neural network based protection of power transformers, IEEE Transactions on Power Delivery, vol.13, no.2, Apirl 1998, pp.510-517.