0000000000240510

AUTHOR

Lalit Kumar

showing 2 related works from this author

Spectral identification of forced oscillation in PMU signal using mode decomposition

2018

This article gives a new method to identify the frequency of Forced Oscillation (FO) in phasor measurement units (PMUs) signals. The processing of the signal by Empirical Mode Decomposition (EMD) technique leads to effective detection with improvement in accuracy. After testing some improved versions of EMD, it is observed that ‘improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN-2014)’ is the best version to use in processing. The developed methodology is able to spot the frequency of FOs even if there exist multiple modes with mode mixing and multiple events. In such cases, self-coherence method fails to spot FO. Spectral analysis is conducted on the decom…

Units of measurementIdentification (information)Noise (signal processing)Computer sciencePhasorMode (statistics)Decomposition (computer science)AlgorithmSignalHilbert–Huang transform2018 First International Colloquium on Smart Grid Metrology (SmaGriMet)
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Wide area monitoring of sustained oscillations using double-stage mode decomposition

2018

Computer science020209 energy020208 electrical & electronic engineeringMode (statistics)Energy Engineering and Power Technology02 engineering and technologyComputational physicsWide areaModeling and Simulation0202 electrical engineering electronic engineering information engineeringDecomposition (computer science)Sustained oscillationsElectrical and Electronic EngineeringDouble stageInternational Transactions on Electrical Energy Systems
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