A New Kalman Filtering Based Digital Distance Relay

Girgis,

doi:10.1109/mper.1982.5519509

Cited by 14 publications

(14 citation statements)

References 1 publication

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“…Kalman filters have been also successfully applied to electrical grid management issues and electrical loads forecasting. First application of Kalman filters for electrical grid management is probably given in (Girgis, 1982), where faults are located by estimation of the apparent impedance to the fault. Kalman filters, modelling the fundamental grid frequency, are applied to voltage and current signals in order to estimate the impedance.…”

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 discrete signals coming from several sensors do contain valuable information, but it is necessary to extract it from input disturbances, what means that it is necessary to identify the signals fundamental component , given that during transient conditions the fundamental voltages or currents are corrupted (Girgis, 1982;Mir & McCleer, 1984;Sachdev et al, 1985). Of course, this information is in the transient condition and depending on the kind, frequency of occurrence and location of the fault, the effects produced in the 60 Hz components (and other frequencies), are of very particular type, allowing gathering valuable information in order to control a protective device or to plan a repair as soon as possible.…”

Section: Protection and Digital Relayingmentioning

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 Kalman filter [6][7] has been introduced in the relay protection in order to improve the computation accuracy and convergence speed of the digital filter. In [6][7] , the harmonics are regarded as measurement noise, and the decaying DC-offset component is defined as state variable to extract the fundamental component of the fault signal, which can effectively suppress the harmonic and DC-offset components. In addition, the Kalman filter is a recursive algorithm which only requires the present measurement, and it is suitable for real-time implementation with low computation burden.…”

Section: Introductionmentioning

confidence: 99%

Combining Mathematical Morphology and Unscented Kalman Filter for Digital Protective Relaying

Lv¹,

Pan²,

Li³

et al. 2018

dteees

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The paper presents a digital filter algorithm, combining mathematical morphology (MM) and unscented Kaman filter (UKF), for microprocessor-based protective relaying. Firstly, the state and observation equations of UKF are designed based on the state variables of DC-offset component, fundamental angular frequency, and fundamental component of the fault signal. Approximation signals and detail signals are derived from the multi-scale morphological decomposition of the sampling signal. The approximation signals are employed to update the observations of UKF to improve the convergence speed of the filter algorithm, and the detail signals are applied to calculate the measurement noise variance to improve the convergence precision of the filter. The proposed MM-UKF algorithm is evaluated on the data collected from simulation model built in Matlab/Simulink.

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A New Kalman Filtering Based Digital Distance Relay

Cited by 14 publications

References 1 publication

Estimation of Electrical Power Quantities by Means of Kalman Filtering

Estimation of Electrical Power Quantities by Means of Kalman Filtering

Kalman Filter on Power Electronics and Power Systems Applications

Combining Mathematical Morphology and Unscented Kalman Filter for Digital Protective Relaying

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