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Vol.8, No.1, February 2019. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Feature Extraction of Low Frequency Oscillation in Power System Using Hilbert-Huang Transform
Buyung Sofiarto Munir, Agung Trisetyarso, Muhamad Reza, Bahtiar Saleh Abbas
© 2019 Buyung Sofiarto Munir, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 8, Issue 1, Pages 12-17, ISSN 2217-8309, DOI: 10.18421/TEM81-02, February 2019.
Received: 06 December 2018.
Abstract:
Power system oscillation is one of the phenomena that can cause problem in power system that can even lead to outage. Using data of phasor sifting in power system available through Phasor Measurement Unit (PMU) implementation, power system oscillations could be observed directly. However, to predict the condition of power system, the recorded phasor data need to be processed to obtain the quantitative measures. In this paper, important parameters are extracted by applying Hilbert Huang Transform (HHT) to phasor signal taken from PMU. The stable and oscillation condition are determined by the parameters that show the increasing power of each frequency over period of time. Validation is conducted by using simulation data that represents characteristic of PMU data.
Keywords – Hilbert-Huang Transform, Phasor Measurement Unit, Power System Oscillation, Instantaneous Power, Stable Signal. |
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