Classifying the Fault Type in Underground Distribution System Based on Fuzzy Logic Algorithm

2017 ◽  
Vol 8 (2) ◽  
pp. 557
Author(s):  
M. Sudha
Keyword(s):  
Fuzzy Logic ◽  
Distribution System ◽  
Discrete Wavelet ◽  
Current Waveform ◽  
Mother Wavelet ◽  
Fuzzy Logic Algorithm ◽  
Fault Type

This paper exhibits the best possible information example of fluffy rationale calculation for blame sort characterization in underground link. The proposed calculation utilizing mix of discrete wavelet changes (DWT) and fluffy rationale. The DWT is connected to concentrate high recurrence segment from blame current waveform utilizing mother wavelet daubechies4 (db4). The most extreme coefficients detail of DWT and greatest proportion of DWT, acquired from stage A, B, C and zero succession of blame current waveforms have been utilized as an info factors for choice calculation. The acquired outcomes in term of normal exactness have demonstrated that the most extreme proportion of DWT can accomplished tasteful precision in blame sort order.

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.

scholarly journals Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms

2019 ◽  
Vol 11 (24) ◽  
pp. 7209
Author(s):  
Theerasak Patcharoen ◽  
Atthapol Ngaopitakkul
Keyword(s):  
Wind Power ◽  
Distribution System ◽  
Wavelet Transforms ◽  
Distribution Systems ◽  
Fault Location ◽  
Classification Algorithm ◽  
Discrete Wavelet ◽  
Current Signal ◽  
Fault Type ◽  
Signal Characteristics

This paper proposed a fault type classification algorithm in a distribution system consisting of multiple distributed generations (DGs). The study also discussed the changing of signal characteristics in the distribution system with DGs during the occurrence of different fault types. Discrete Wavelet Transform (DWT)-based signal processing has been used to construct a classification algorithm and a decision tree to classify fault types. The input data for the algorithm is extracted from the three-phase current signal under normal conditions and during fault occurrence. These signals are recorded from the substation, load, and DG bus. The performance of the proposed classifying algorithm has been tested on a simulation system that was modeled after part of Thailand’s 22 kV distribution system, with a 2-MW wind power generation as the DG, connected to the distribution line by PSCAD software. The parameters that were taken into consideration consisted of the fault type, location of the fault, location of DG(s), and the number of DGs, to evaluate the performance of the proposed algorithm under various conditions. The result of the simulation indicated significant changes in current signal characteristics when installing DGs. In addition, the proposed algorithm has achieved a satisfactory accuracy in terms of identifying and classifying fault types when applied to a distribution system with multiple DGs.

Sign in / Sign up

Export Citation Format

Share Document