Detection and classification of faults on 220 KV transmission line using wavelet transform and neural network
نویسندگان
چکیده
Along with other electrical components, the transmission line suffers from the unexpected failures due to various faults. Protecting of transmission lines is one of the important tasks to safeguard electric power systems. For safe operation of EHVAC transmission line systems, the protection to detect, classify, locate accurately and clear the fault as fast as possible to maintain stability in the network. The protective systems are required to prevent the propagation of these faults. The occurrence of any transmission line faults gives rise to transient condition. Fourier transform technique is used for detecting the transmission line faults. Fourier transform gives information about all frequencies that are presented in the signal but do
منابع مشابه
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تاریخ انتشار 2015