Area-Based Approach in Power Quality Assessment

Chattopadhyay, Surajit; Sengupta, Samarjit; Mitra, Madhuchhanda

doi:10.1155/2008/147359

Cited by 9 publications

(5 citation statements)

References 17 publications

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“…In area-based approach, different areas are determined wherefrom amplitude of fundamental as well as harmonic components is assessed. Fundamental current component is first assessed with the help of a predefined reference signal [16,30], defined as…”

Section: Fundamental Component In Clarke Planementioning

confidence: 99%

“…1, where the real part of the space vector is equal to the instantaneous value of the direct‐axis current component, i α , and imaginary part is equal to the quadrature‐axis current component, i β . In Clarke plane [30], the current components can be expressed as follows

(][, \begin{matrix} 1em4pt \\ i_{α} \\ i_{β} \end{matrix}) = \frac{2}{3} \times [\begin{matrix} 1 & - \frac{1}{2} & - \frac{1}{2} \\ 0 & \frac{\sqrt{3}}{2} & - \frac{\sqrt{3}}{2} \end{matrix}] \times [\begin{matrix} i_{R} \\ i_{Y} \\ i_{B} \end{matrix}]

…”

Section: Space Vector and Clarke Transformationmentioning

confidence: 99%

“…The previous limitation is overcome by determining each harmonic component using area‐based approach [29]. In area‐based approach, different areas are determined wherefrom amplitude of fundamental as well as harmonic components is assessed.…”

Section: Harmonic Distortion Assessment In Clarke Plane Using Area‐mentioning

confidence: 99%

“…In area‐based approach, different areas are determined wherefrom amplitude of fundamental as well as harmonic components is assessed. Fundamental current component is first assessed with the help of a predefined reference signal [16, 30], defined as

i_{REF 1} false(t false) = \sin ω t

As the problem deals with normalised data, there is no specific unit for these reference signals. Thus reference signals and all captured data can be assumed as per unit system.…”

Section: Harmonic Distortion Assessment In Clarke Plane Using Area‐mentioning

confidence: 99%

“…Fault detection and diagnosis is done in an induction machine drive using pattern recognition approach based on Concordia stator mean current vector [28]. Chattopadhyay et al [29,30] proposed area based approach for harmonic power assessment in Clarke plane and measured harmonic distortion using Park transformation technique [31] and proposed single cycle mathematical model for harmonic power [32] and area-based mathematical model for harmonic distortion [33]. Winding fault is detected in three-phase synchronous and asynchronous motors by extended Park's vector approach [34].…”

Section: Introductionmentioning

confidence: 99%

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Measurement of harmonic distortion and Skewness of stator current of induction motor at crawling in Clarke plane

Chattopadhyay

Sengupta³

2014

IET Science, Measurement & Technology

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This study deals with measurement of harmonic distortion and Skewness of stator current in Clarke plane at crawling of induction motor. Three-phase current signals have been transformed into Clarke plane. Dominancy of seventh harmonic is observed by assessing maxima and minima of stator current Concordia in Clarke plane. Specific reference signals having sinusoidal nature and different frequencies are defined and then areas covered by the real system data with the reference signal have been determined, wherefrom individual contributions of fundamental waveform and harmonic components are measured separately and total harmonic distortion factors are determined. Then wavelet decomposition of stator current is done in Clarke plane, wherefrom, signals are assessed with the help of Skewness of approximate coefficient in Clarke plane. Significant differences are noted between those parameters found during crawling and that of normal condition which may be useful in detection of such fault.

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Section: Fundamental Component In Clarke Planementioning

confidence: 99%

(][, \begin{matrix} 1em4pt \\ i_{α} \\ i_{β} \end{matrix}) = \frac{2}{3} \times [\begin{matrix} 1 & - \frac{1}{2} & - \frac{1}{2} \\ 0 & \frac{\sqrt{3}}{2} & - \frac{\sqrt{3}}{2} \end{matrix}] \times [\begin{matrix} i_{R} \\ i_{Y} \\ i_{B} \end{matrix}]

…”

Section: Space Vector and Clarke Transformationmentioning

confidence: 99%

Section: Harmonic Distortion Assessment In Clarke Plane Using Area‐mentioning

confidence: 99%

i_{REF 1} false(t false) = \sin ω t

As the problem deals with normalised data, there is no specific unit for these reference signals. Thus reference signals and all captured data can be assumed as per unit system.…”