2020
DOI: 10.1002/2050-7038.12378
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A novel discrete wavelet transform‐based graphical language classifier for identification of high‐impedance fault in distribution power system

Abstract: Summary This paper proposes a discrete wavelet transform (DWT)‐based Graphical Language classifier algorithm for identification of high‐impedance fault (HIF) in medium voltage (MV) distribution network of 13.8 kV. The proposed method of classifier is developed using virtual instrumentation LabVIEW facility, for detection of various faults such as symmetrical, unsymmetrical, and HIF in the system. Initially, the MV distribution feeder network has been modeled in MATLAB/Simulink, and the DWT analysis has been ca… Show more

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Cited by 17 publications
(8 citation statements)
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“…where D i and A i denote the detail and approximation coefficients, respectively, at the level of i th . High-pass and low-pass filters are associated with the wavelet ω (t) and scaling β (t) functions and can be expressed as, The mother wavelet of Daubechies-4 (db4) is commonly used in PQ analysis to detect fast transient signals in the power system, according to the literature [ 48 , 49 ]. Therefore, in this research work, mother wavelet of db4 is considered for analysis of PQE signals.…”
Section: Dwt Methods Of Feature Extractionmentioning
confidence: 99%
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“…where D i and A i denote the detail and approximation coefficients, respectively, at the level of i th . High-pass and low-pass filters are associated with the wavelet ω (t) and scaling β (t) functions and can be expressed as, The mother wavelet of Daubechies-4 (db4) is commonly used in PQ analysis to detect fast transient signals in the power system, according to the literature [ 48 , 49 ]. Therefore, in this research work, mother wavelet of db4 is considered for analysis of PQE signals.…”
Section: Dwt Methods Of Feature Extractionmentioning
confidence: 99%
“…The feature extraction is useful in such a way as to provide reduced dimension of the input vector matrix with useful information for the classifiers. Using the Eq (6) [ 49 ], the energy value (EV) can be estimated from the detail coefficients of DWT analysis. let mean , j = 1,2,3….l (decomposition level), K is the number of samples for each decomposed signal.…”
Section: Dwt Methods Of Feature Extractionmentioning
confidence: 99%
“…To cater for the ever-growing energy demand, interconnecting the multimachine power systems rather than its utilization in an isolation is imperative. 1 Two design requirements that are key for large interconnected multimachine power system are transient stability and electromechanical modes (EMs) damping of sustained power system oscillation. 2 Interconnecting the large power system under steady state system condition means that each synchronous generator revolves in synchronism 3 and achieving this under any system disturbance is a requisites for the overall system stability.…”
Section: Introductionmentioning
confidence: 99%
“…where generator rotor angle is δ, generator speed is ω, synchronous speed is ω s , internal transient voltage are E 0 d &E 0 q they are behind X 0 d & X 0 q which are the d-axis and q-axis transient reactance's respectively, I d and I q are d-axis and qaxis constituents of the generator stator currents respectively, damping coefficient is D, mechanical power input is T M , generator inertia constant is H, d-axis and q-axis reactance are X d and X q respectively, T 0 d0 and T 0 q0 are the open circuit d-axis and q-axis time variable constant respectively, V is terminal voltage for the synchronous generator, exciter voltage is E fd , regulator gain is K A , regulator time constant is T A while regulator reference voltage is V ref . For i in Equation (1) and (4) represents the ith synchronous generator.…”
Section: Introductionmentioning
confidence: 99%
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