Wavelet approach for transient current based multi terminal transmission system protection scheme in the presence of SVC

Sree, Y. Manju; Kumar, G. Ravi; Vaidehi, M.; Priya, G. Vamsi

doi:10.1109/iceeot.2016.7755495

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Moreover, it produces better spatial and spectral localization of signal. In recent decades, such advanced powerful tool has been used for designing the protective relays [17,[18][19][20][21][22][23][24]. In DWT, the fault current signal x (t) is decomposed into low and high frequency components such as approximation (A) and detailed coefficients (D) which is mathematically expressed in (1) and (2) for decomposed signal [25][26].…”

Section: Discrete Wavelet Transformmentioning

confidence: 99%

Transmission line fault identification and classification with integrated FACTS device using multiresolution analysis and naïve bayes classifier

Aker

Othman

Aris

et al. 2020

IJPEDS

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This paper is present a novel approach for solving the pending under-reach problem encountered by distance relay protection scheme in the 3rd zones protection coverage for a midpoint STATCOM compensated transmission lines. The propose transmission line model is develop in Matlab for analyzed feature extraction using Discrete Wavelet multiresolution analysis approach. Extracted feature from standard deviation and entropy energy contents of SLG transient faults current at location beyond the integrated STATCOM used for machine learning algorithm model building using WEKA software. The Naïve Bayes classifier model perform best with robustness prediction and detection of faults with quick convergence even with less training data. The outperformance of the proposed classifier has been 100 % for the relay algorithm modification for under-reach problem elimination in 3rd zones protection coverage.

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Section: Discrete Wavelet Transformmentioning

confidence: 99%

Transmission line fault identification and classification with integrated FACTS device using multiresolution analysis and naïve bayes classifier

Aker

Othman

Aris

et al. 2020

IJPEDS

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show abstract

“…For mitigating the influence of shunt FACTS devices on distance protection relay and making adaptive distance protection relay tripping characteristics in power systems, there are many published works recently [13][14][15][16][17][18][19][20]. In [13], the influence of SVC at the midpoint of transmission line on distance relay operation was analyzed.…”

Section: Introductionmentioning

confidence: 99%

“…An adaptive zone setting for distance relay tripping characteristics was proposed and evaluated for different types of faults different types of fault, different fault resistances, and load angles. The wavelet approach for transient current based multi terminal transmission system protection scheme in the presence of SVC was studied and proposed in [16]. The work carried out the most important problem of the distance protection was severe under reaching, which was caused by current injection at the point of connection to the system.…”

Section: Introductionmentioning

confidence: 99%

Locating Fault on Transmission Line with Static Var Compensator Based on Phasor Measurement Unit

Khoa

Tung

2018

Energies

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The flexible alternating current transmission systems (FACTS) have been widely used in modern power systems. Because of the presence of the FACTS devices, distance relays in transmission lines may inaccurately locate fault locations. Therefore, it is significant to find a mechanism for locating fault in transmission lines connected to FACTS in which a static var compensator (SVC) is investigated in this work. Based on the development of a phasor measurement unit (PMU) with global positioning system (GPS), this paper proposes a new method for calculating apparent impedance seen by the distance relay location while a short-circuit fault occurs in a transmission line connected the SVC to the midpoint of the line. According to the method, sampled voltage and current measurement at the relay and SVC locations are synchronized using PMUs and the synchronized measurements are then used to calculate a new apparent impedance and to locate the fault location in the line. The method in this paper has the capability for fast calculation and it also has the robustness for identifying different fault types in power systems. Matlab/Simulink software is applied to simulate the study results and to evaluate the correctness of the modeling and effectiveness of the proposed method for locating fault in this paper.

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Application of Radial Basis Neural Network in MPPT Technique for Stand-Alone PV System Under Partial Shading Conditions

Bollipo

Mikkili

Bonthagorla

2021

IETE Journal of Research

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Wavelet approach for transient current based multi terminal transmission system protection scheme in the presence of SVC

Cited by 3 publications

References 6 publications

Transmission line fault identification and classification with integrated FACTS device using multiresolution analysis and naïve bayes classifier

Transmission line fault identification and classification with integrated FACTS device using multiresolution analysis and naïve bayes classifier

Locating Fault on Transmission Line with Static Var Compensator Based on Phasor Measurement Unit

Application of Radial Basis Neural Network in MPPT Technique for Stand-Alone PV System Under Partial Shading Conditions

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