Document Type: Original Article


Sama Technical and Vocational Training College, Islamic Azad University, Kerman Branch, Kerman, Iran


With the increasing dependence on electrical power generation resources, achieve a good level of reliability, quality and safety, along with cost-efficient day to day for consumers is more important Another necessary thing that should take into consideration the safety of electric power.One of the first requirements of each feeding system is that such a system be designed well and in the next step be to good maintenance until the number of errors that might occur, it is limited. In this article, we try to have a variety of errors found in the distribution system should be evaluated and appropriate with such a solution provides dynamic protection of these errors as much as possible to a minimum of time.


Gers, J.M., Holmes, E.J. (2004). “Protection of electricity distribution networks”, London, U.K.: Institution of Engineering and Technology, Ch. 1-9, pp. 6-186.

Bo, Z.Q., He, J.H., Dong, X. Z., (2006). “Integrated protection of power systems”, In Power Engineering Society General meeting, Montreal, Que, pp. 1-7.

Silva, K.M., Dantas, K.M.C. (2006). “Haar wavelet-based method for fast fault classification in transmission lines”, In Transmission & Distribution Conference and Exposition, Latin America, Caracas, pp. 1-5.

Upendar, J., Gupta, C.P. (2008). “ANN based power system fault classification”, In TENCON, Hyderabad, pp. 1-6.

Dong, X., Kong, W. (2009). “Fault classification and faulted-phase selection based on the initial current traveling wave”, IEEE Transactions on Power Delivery, vol. 24, pp. 552 – 559.

Sudha, G., Basavaraju, T. (2007). “A comparison between different approaches for fault classification in transmission lines”, In International Conference on Information and Communication Technology in Electrical Sciences, ICTES, Chennai, Tamilnadu, India, IET-UK , pp. 398 – 403.

Togami, M., Abe, N., Kitahashi, T. (1995). “On the application of a machine learning technique to fault diagnosis of power distribution lines”, IEEE Transactions on Power Delivery, vol. 10, pp. 1927–1936, October.

Chen, W.H., Liu, C.W., and Tsai, M.S. (2000). “On line fault diagnosis of distribution substations using hybrid cause effect network and fuzzy rule based method”, IEEE Transactions on Power Delivery, vol. 15, pp. 710–717.

Dag, O., and Ucak, C. (2004). “Fault classification for power distribution systems via a combined wavelet-neural approach”, In International Conference on Power system Technology, Singapore, pp. 1309-1314.

Das, B. (2006). “Fuzzy logic-based fault-type identification in unbalanced radial power distribution ‌system”, IEEE Transactions on Power Delivery, vol. 21, pp. 278-285.

Huang, N., Xu, D., Liu, X. (2009). “Power quality disturbance recognition based on S-transform and SOMneural network”, In Congress on Image and Signal Processing, CISP, Tianjin, pp. 1-5.