Fault location in DC marine power system using multiple injections

2012 ◽  
Author(s):  
Ke Jia ◽  
Edward Christopher ◽  
Mark Sumner ◽  
David Thomas
Keyword(s):  
Power System ◽  
Fault Location ◽  
Multiple Injections

scholarly journals Comparison of Various Mother Wavelets for Fault Classification in Electrical Systems

2020 ◽  
Vol 10 (4) ◽  
pp. 1203 ◽  
Author(s):  
Chaichan Pothisarn ◽  
Jittiphong Klomjit ◽  
Atthapol Ngaopitakkul ◽  
Chaiyan Jettanasen ◽  
Dimas Anton Asfani ◽  
...  
Keyword(s):  
Power System ◽  
Fault Location ◽  
Classification Algorithm ◽  
Fault Classification ◽  
Discrete Wavelet ◽  
Mother Wavelet ◽  
System Protection ◽  
Fault Type ◽  
Zero Sequence ◽  
Mother Wavelets

This paper presents a comparative study on mother wavelets using a fault type classification algorithm in a power system. The study aims to evaluate the performance of the protection algorithm by implementing different mother wavelets for signal analysis and determines a suitable mother wavelet for power system protection applications. The factors that influence the fault signal, such as the fault location, fault type, and inception angle, have been considered during testing. The algorithm operates by applying the discrete wavelet transform (DWT) to the three-phase current and zero-sequence signal obtained from the experimental setup. The DWT extracts high-frequency components from the signals during both the normal and fault states. The coefficients at scales 1–3 have been decomposed using different mother wavelets, such as Daubechies (db), symlets (sym), biorthogonal (bior), and Coiflets (coif). The results reveal different coefficient values for the different mother wavelets even though the behaviors are similar. The coefficient for any mother wavelet has the same behavior but does not have the same value. Therefore, this finding has shown that the mother wavelet has a significant impact on the accuracy of the fault classification algorithm.

Fault Location Technology for Power System Based on Information About the Power Internet of Things

2020 ◽  
Vol 16 (10) ◽  
pp. 6682-6692 ◽  
Author(s):  
Xiangyu Kong ◽  
Yong Xu ◽  
Zaibin Jiao ◽  
Delong Dong ◽  
Xiaoxiao Yuan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Power System ◽  
Fault Location
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