A Novel Improved Hilbert-Huang Transform Technique for Implementation of Power System Local Oscillation Monitoring

Reza Zamani,Hassan Haes Alhelou,Maryam Imani,Mohammad Esmail Hamedani Golshan,Pierluigi Siano,Mohsen Parsa Moghaddam

doi:10.1109/ptc.2019.8810466

A Novel Improved Hilbert-Huang Transform Technique for Implementation of Power System Local Oscillation Monitoring

Reza Zamani, Hassan Haes Alhelou + Show 4 more

https://doi.org/10.1109/ptc.2019.8810466

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Publication Date: Jun 1, 2019

Citations: 29

Affiliation: Tarbiat Modares University, Tishreen University, Isfahan University of Technology, University of Salerno

#Hilbert-Huang Transform #Non-stationary Data Analysis + Show 8 more

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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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