Ferroresonance Signal Analysis with Wavelet Transform on 500 kV Transmission Lines Capacitive Voltage Transformers

I Gusti Ngurah Satriyadi Hernanda, I Made Yulistya Negara, Adi Soeprijanto, Dimas Anton Asfani, Mochammad Wahyudi, Surya Dwi Kisdarmawan, Daniar Fahmi

Abstract


This paper deals with ferroresonance detection on an transmission line utilizing wavelet transform. The ferroresonance involving linear capacitor and non-linear inductor was triggered by the disturbances of power system, such as lightning strike, switching operation and ground fault. The primary voltage of capacitive voltage divider (CVT) was observed as response of the triggered ferroresonance. The voltage signal was processed using wavelet daubechies (db5) until 9 levels. The cyclic cumulative energy for each condition was then calculated and compared. The result shows that the cyclic cumulative energy ratio and duration of period of cumulative energy deviation can be used as ferroresonance detection parameters.


Keywords: ferroresonance; capacitive voltage divider, wavelet transform



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References


Elmo Price, “A Tutorial on Ferroresonance”, ABB Inc.

Ferraci, P., “Ferroresonance”, Group Schneider: Cahier no 190, pp. 1-28, 1998

A.H.A. Bakar, “Analysis of Lighting-caused Ferroresonance in Capasitor Voltage” Ekivier 2011 Electrical Power and Energy System33 pp 1536-1541

Siavash Beheshtaein, “Application of Wavelet-base Method and DT in Detection of Ferroresonance from other Transient Phenomena”, International Symposium on Innovations in Intelligent Systems and Applications, IEEE 2012

Zhang Bo and LU Tiecheng, “On The Use of Wavelet Decomposition for Ferroresonance Detection in Power System”, Asia-Pacific Power and Energy Engineering Conference, IEEE 2009

G. Mokryani, et.al. “Wavelet Based Kernel Fisher Classifier For Ferroresonance Identification”, International Conference on Intelligent System Applications to Power Systems, IEEE 2009

J. A. C. Araujo, “Modeling and Analysis of Power Transformers under Ferroresonance Phenomenon”, Universitat Rovira I Virgili, Tarragona, 2015

Huang Chun-Wei, Jyh-Cherng Gu, Ming-Ta Yang, “Applying Wavelet Transform to Ferroresonance Detection and Protection”, ICECECE 2014




DOI: https://doi.org/10.12962/j25796216.v1.i1.8

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