Hybrid S-Transform and Kalman Filtering Approach for Detection and Measurement of Short Duration Disturbances in Power Networks

Dash, P.K.; Chilukuri, M.V.

doi:10.1109/tim.2003.820486

Cited by 105 publications

(62 citation statements)

References 10 publications

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“…Three Kalman filters, one per phase, are applied in order to obtain frequency and harmonic measurements as well as a detection index. (Dash & Chilukuri, 2004) proposed to integrate wavelet transforms and Kalman filters in order to characterize short duration power quality disturbances. The phase-corrected wavelet transform, S-transform, allows the disturbances to be detected and time localized while the Kalman filter characterizes the disturbance.…”

Section: Application Of Kalman Filters To Electrical Power Systemsmentioning

confidence: 99%

Estimation of Electrical Power Quantities by Means of Kalman Filtering

Pigazo¹,

Moreno²

2009

Kalman Filter Recent Advances and Applications

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Section: Application Of Kalman Filters To Electrical Power Systemsmentioning

confidence: 99%

Estimation of Electrical Power Quantities by Means of Kalman Filtering

Pigazo¹,

Moreno²

2009

Kalman Filter Recent Advances and Applications

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“…The KF has also been applied to the development of expert systems focused on the analysis, classification and possible cause's identification of short term power quality disturbances, such as: voltage sags, swells and interruptions (Styvaktakis et al, 2002;Dash & Chilukuri, 2004;González et al, 2006).…”

Section: Revenue Metering and Power Quality Monitoringmentioning

confidence: 99%

Kalman Filter on Power Electronics and Power Systems Applications

Marafão¹,

Colón²,

Padua³

et al. 2009

Kalman Filter Recent Advances and Applications

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The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book is divided into 24 chapters and organized in five blocks corresponding to recent advances in Kalman filtering theory, applications in medical and biological sciences, tracking and positioning systems, electrical engineering and, finally, industrial processes and communication networks.

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“…The ST has been used in electric power systems for the identification of power quality events [14,15]. However, unlike the CWT, the ST is based on the block processing manner and hence it does not well satisfy the real time requirement.…”

Section: The S Transform (St)mentioning

confidence: 99%