Identification of electromechanical oscillatory modes based on variational mode decomposition
Mario R. Arrieta Paternina, Rajesh Kumar Tripathy, Alejandro Zamora-Mendez, Daniel Dotta
ARTIGO
Inglês
Agradecimentos: The authors would like to thank Professor Ildemar C. Decker for the BIPS data. Prof. Daniel Dotta also would like to thank FAPESP under Grants Nos. 2016/08645-9 and 2018/07375-3
Abstract: This paper introduces Variational Mode Decomposition (VMD) to identify electromechanical oscillatory modes in power systems. The identification process is based on the time-frequency analysis of nonlinear signals which arise after a large disturbance. VMD provides signal decomposition to...
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Abstract: This paper introduces Variational Mode Decomposition (VMD) to identify electromechanical oscillatory modes in power systems. The identification process is based on the time-frequency analysis of nonlinear signals which arise after a large disturbance. VMD provides signal decomposition to convert the oscillatory power signal into mono-component signals or modes. This analysis is accomplished by an optimal and recursive statement in time-frequency, yielding the modes and reconstructed signal estimates, and providing information on their instantaneous modal characteristics such as amplitude, frequency, damping and energy, via Hilbert transform. The results demonstrate the applicability of the proposition in both theoretical and a real wide-area monitoring system
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FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2016/08645-9; 2018/07375-3
Fechado
Identification of electromechanical oscillatory modes based on variational mode decomposition
Mario R. Arrieta Paternina, Rajesh Kumar Tripathy, Alejandro Zamora-Mendez, Daniel Dotta
Identification of electromechanical oscillatory modes based on variational mode decomposition
Mario R. Arrieta Paternina, Rajesh Kumar Tripathy, Alejandro Zamora-Mendez, Daniel Dotta
Fontes
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Electric power systems research (Fonte avulsa) |