Fault Classification in Transmission Lines Using Wavelet Multiresolution Analysis

Rajaraman, P.; Sundaravaradan, Naren; Meyur, Rounak; Reddy, M. Jaya Bharata; Mohanta, Dusmanta Kumar

doi:10.1109/mpot.2015.2468775

Cited by 24 publications

(15 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are schemes, which use wavelet technique for transmission line relaying. 27 Nonetheless, these schemes are susceptible in the presence of FACTS device because it may change the frequency spectrum of the measured signal. Artificial neural network-based protection schemes are proposed in the study of Ibrahim et al 28,29 Although these schemes are quite accurate, they require lots of computational efforts and training data.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

ERF-based fault detection scheme for STATCOM-compensated line

Gupta

Tripathy

2016

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

Summary The shunt flexible AC transmission system devices affect the protection schemes because of reactive power injection. Therefore, robust protection schemes are required. This study presents a fault detection scheme, which is based on estimated reactive power factor (ERF) and differential current with modified setting. The ERF is defined as sine of phase difference between the static synchronous compensator tap voltage and differential current. The static synchronous compensator tap voltage can be estimated using local end voltage and current. The ERF is measured at both the relay ends. In capacitive mode, if both ERFs are more than upper threshold, the fault is external, and if any ERF is less than upper threshold, the fault is internal. In inductive mode, if ERF is between upper and lower threshold, fault is internal else, if differential current is more than modified differential current setting, the fault is internal, or else, the fault is external. The performance of presented scheme is investigated for various system configurations with PSCAD/EMTDC simulations. Further, the scheme is successfully validated in real‐time digital simulator. It is found that the scheme is robust and selective for various faulty conditions, compensation level variations, and location variations.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, it requires complete system information and depends on the source side impedance. There are schemes, which use wavelet technique for transmission line relaying . Nonetheless, these schemes are susceptible in the presence of FACTS device because it may change the frequency spectrum of the measured signal.…”

Section: Introductionmentioning

confidence: 99%

ERF-based fault detection scheme for STATCOM-compensated line

Gupta

Tripathy

2016

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

show abstract

“…Discrete Wavelet Transform (DWT) and multi-resolution analysis (MRA) were used to decomposed signals in order to obtain the coefficients of the fault signal. The study evaluates the performance of the Daubechies (db4) mother wavelet, which is a suitable mother wavelet for fault analysis [26]. It can be seen that the wavelet transform has been widely applied in transient analyses, especially in cases of a fault in the power system.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Patcharoen

Ngaopitakkul

2019

Sustainability

View full text Add to dashboard Cite

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.

show abstract

“…They study the comparative use of 16 different wavelets for fault classification in overhead transmission line systems. However, it is revealed that the Db4 wavelet completely satisfies the fault classification algorithm [23].…”

Section: Introductionmentioning

confidence: 99%

“…Most of the references use wavelets to detect and identify fault types in electrical systems, but they do not analyze the mother wavelet [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]20,21]. Additionally, there are research articles that compare mother wavelets [18,19,22,23]. They study the comparative use of 16 different wavelets for fault classification in overhead transmission line systems.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Various Mother Wavelets for Fault Classification in Electrical Systems

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

Fault Classification in Transmission Lines Using Wavelet Multiresolution Analysis

Cited by 24 publications

References 10 publications

ERF-based fault detection scheme for STATCOM-compensated line

ERF-based fault detection scheme for STATCOM-compensated line

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

Comparison of Various Mother Wavelets for Fault Classification in Electrical Systems

Contact Info

Product

Resources

About