Diagnosis of Fault Type by Dissolved Gas Analysis in Transformer Oil Using Petri Net Technology

Nihat Pamuk


Petri net technology can be applied easily in large and complex power systems because of its parallel processing. Fault diagnosis by dissolved gas analysis in transformer oil can be previously identified, so the reliability of the system can be increased and the operator working in substation can be accelerated against the intervention of a fault. In this study, reliability characteristics of the electric power transformer were obtained using petri net technology which was produced more successful results than mathematical and heuristic methods. Applied fault diagnosis method is simple and an effective than other methods. PIPE2 software was used during the computer simulation. The fast fault diagnoses respond had obtained by using this method. Possible fault types in the electric power transformer were predetermined and were aimed to minimize staff intervention.

Tam Metin:



Lin, C.E., Ling, J.M., Huang, C.L., An expert system for transformer fault diagnosis and maintenance using dissolved gas analysis, IEEE Transactions on Power Delivery, 8(1), 231-238, (1993).

Pamuk, N., Uyaroglu, Y., Fault section estimation of electric energy systems using petri nets, 6th International Ege Energy Symposium and Exhibition, Izmir, Turkey, 608-616, (2012).

Huang, Y.C., Huang, C.M., Liao, C.C., Chen, J.F., Yang, H.T., A new intelligent fast petri-net model for fault section estimation of distribution systems, International Conference on Power System Technology, Perth, Australia, 217-222, (2000).

Lee, J., Pan, J.I., Kuo, J.Y., Verifying scenarios with time petri-nets, Information and Software Technology, 43(13), 769-781, (2001).

Hadjicostis, C.N., Verghese, G.C., Power system monitoring using petri net embeddings, IEE Proc. C. Generation Transmission and Distribution, 147, 299-303, (2000).

Murata, T., Petri nets: properties, analysis and applications, Proceeding of the IEEE, 77(4), 541-580, (1989).

Su, Q., Mi, C., Lai, L.L., Austin, P., A fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer, IEEE Transactions on Power Systems, 15(2), 593-598, (2000).

Guardado, J.L., Naredo, J.L., Moreno, P., Fuerte, C.R., A comparative study of neural network efficiency in power transformers diagnosis using dissolved gas analysis, IEEE Transactions on Power Delivery, 16(4), 643-647, (2001).


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