Identifikasi Feroresonansi Pada Sistem Tenaga Listrik Berbasis Transformasi Wavelet

Hernanda, I Gusti Ngurah Satriyadi Hernanda (2020) Identifikasi Feroresonansi Pada Sistem Tenaga Listrik Berbasis Transformasi Wavelet. Doctoral thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Feroresonansi merupakan sebuah interaksi pada inti transformator yang menimbulkan tegangan abnormal. Kemunculan feroresonansi sangat dipengaruhi oleh parameter dan kondisi sistem. Dalam memahami karakteristik tersebut secara fisik, pengujian inisiasi feroresonansi dilakukan pada transformator tegangan rendah satu fasa dan tiga fasa. Variasi tegangan sumber dan kapasitansi diberikan pada transformator satu fasa, sedangkan variasi pelepasan fasa dan kapasitansi serta ketidaksimetrisan kaki inti diberikan pada transformator tiga fasa. Respon tegangan primer transformator, meliputi bentuk gelombang, magnitudo, dan harmonisa, dianalisis. pendeteksian feroresonansi dilakukan dengan menganalisa perubahan yang signifikan pada nilai koefisien detail sinyal mode feroresonansi hasil transformasi diskrit wavelet (DWT). Pemilihan basis wavelet dilakukan dengan dua metode. Metode pertama yaitu menganalisa kecepatan deteksi dan rasio nilai koefisien detail yang terdeteksi terhadap nilai threshold. Metode kedua adalah dengan melakukan perbandingan rasio perhitungan energi kumulatif pada kondisi normal dan kondisi feroresonansi. Berdasarkan studi yang telah dilakukan pada metode pertama, mother wavelet coif5 menunjukan performansi pendeteksian yang unggul dibandingkan dengan mother wavelet lainnya dengan mendeteksi lebih cepat secara konsisten pada setiap mode feroresonansi. Pada metode kedua, mother wavelet rbio3.3 secara konsisten menghasilkan rasio energi kumulatif yang lebih besar dibanding dengan mother wavelet lainnya
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Feroresonance is a term used to describe the phenomenon of non-linear resonance that results from the interaction between the capacitance and iron core inductance. Feroresonance causes high overcurrent and overvoltage causing electrical equipment damage and can eventually disrupt the electrical system. The main problem of this phenomenon is the complexity of this phenomenon in the detection, prevention, and appropriate action. Wavelet transformation is one method to analyze the detection of feroresonance. The purpose of this study is to find out the best mother wavelet to detect the feroresonance phenomenon. In this study, the detection of feroresonance was done by analyzing the significant changes in the value of the feroresonance signal details coefficient as a result of discrete wavelet transformation (DWT) performed using MATLAB software. Selection of mother wavelet is done by two methods. The first method is to analyze the detection speed and the ratio of the detected detail coefficient value to the threshold value. The second method is to compare the ratio of cumulative energy calculations under normal conditions and feroresonance conditions. The wavelet base used is 54 mother wavelets available on DWT MATLAB software. Based on studies that have been done on the first method, mother wavelet coif5 shows superior detection performance compared to other mother wavelets by consistently faster detection in each feroresonance mode. In the second method, mother wavelet rbio3.3 consistently results larger cumulative energy ratio compared to other mother wavelets.

Item Type:	Thesis (Doctoral)
Additional Information:	RDE 621.314 Her i-1 2020
Uncontrolled Keywords:	feroresonansi, transformator, wavelet
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3226 Transients (Electricity). Electric power systems. Harmonics (Electric waves).
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20001-(S3) PhD Thesis
Depositing User:	I Gusti Ngurah Satriyadi Hernanda
Date Deposited:	14 Mar 2025 01:14
Last Modified:	14 Mar 2025 01:16
URI:	http://repository.its.ac.id/id/eprint/75207

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