The data analysis techniques are used widely in power system applications. The Hilbert-Huang transform (HHT) is a popular technique for non-linear and non-stationary data analysis. This paper concentrates on improvement of standard HHT to overcome shortages and practical obstacles. The proposed method refines the accuracy and performance of the empirical mode decomposition (EMD) and local Hilbert transformer (HT) for power system local oscillation monitoring. The effectiveness of the proposed method is evaluated under different oscillating signals and complex power system models and compared with other approaches. It is shown that the accuracy and time of processing are simultaneously improved.

A novel improved Hilbert-Huang transform technique for implementation of power system local oscillation monitoring

Siano P.
2019

Abstract

The data analysis techniques are used widely in power system applications. The Hilbert-Huang transform (HHT) is a popular technique for non-linear and non-stationary data analysis. This paper concentrates on improvement of standard HHT to overcome shortages and practical obstacles. The proposed method refines the accuracy and performance of the empirical mode decomposition (EMD) and local Hilbert transformer (HT) for power system local oscillation monitoring. The effectiveness of the proposed method is evaluated under different oscillating signals and complex power system models and compared with other approaches. It is shown that the accuracy and time of processing are simultaneously improved.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4734774
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