Open AccessCritical aspects on wavelet transforms based fault identification procedures in HV transmission line
Author(s) -
Adly Ahmed R.,
El Sehiemy Ragab A.,
Abdelaziz Almoataz Youssef,
Ayad Nabil M.A.
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0899
Subject(s) - emtp , fault (geology) , identification (biology) , transmission line , electric power system , identification scheme , computer science , electronic engineering , wavelet , electric power transmission , transient (computer programming) , electrical impedance , transmission system , process (computing) , reliability engineering , engineering , control theory (sociology) , control engineering , power (physics) , transmission (telecommunications) , artificial intelligence , electrical engineering , botany , seismology , biology , geology , physics , control (management) , quantum mechanics , operating system
The fault identification process in transmission systems involves three functions: discrimination, classification and phase selection. The current study classifies the methods that applied for each function. Moreover, this study introduces criticism and assessment study that helps the power system protection engineer to choose the best fault identification scheme at responsible indices. Investigated solutions for the drawbacks appeared with the previous methods are suggested. This study also proposes sensitive and automated fault identification scheme to solve the existing challenges such as high‐impedance faults (HIFs), non‐linear modelling of arcing etc. Several simulation studies are employed using alternative transients program/electromagnetic transient program (ATP/EMTP) package on a sample 500 kV test system to ensure the performances of the proposed scheme compared with the previous methods. Simulation results concluded that: the proposed identification scheme has the ability to discriminate correctly between HIF and low‐impedance faults using current signal captured from one end only. Moreover, the proposed scheme alleviates perfectly the problems associated with load variations by adaptive threshold settings and reduces the impacts on the environmental and external phenomena.