A Novel Improved Hilbert-Huang Transform Technique for Implementation of Power System Local Oscillation Monitoring
| Autor: | Pierluigi Siano, Reza Zamani, Mohsen Parsa Moghaddam, Hassan Haes Alhelou, Mohammad Esmail Hamedani Golshan, Maryam Imani |
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| Rok vydání: | 2019 |
| Předmět: |
Dynamic response
Empirical mode decomposition Hilbert-Huang transform Oscillation detection Power system data analysis Computer science Oscillation 020209 energy 020208 electrical & electronic engineering Economic shortage 02 engineering and technology Hilbert–Huang transform Electric power system Control theory 0202 electrical engineering electronic engineering information engineering Data analysis Hilbert transformer |
| Zdroj: | 2019 IEEE Milan PowerTech. |
| DOI: | 10.1109/ptc.2019.8810466 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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