Analisis Karakteristik Arcing Seri Pada Sistem Photovoltaic Berdasarkan Variasi Jarak Konduktor Dan Impedansi Kabel Menggunakan Metode Fast Fourier Transform (FFT)

Choliq, Gustav Galvani (2024) Analisis Karakteristik Arcing Seri Pada Sistem Photovoltaic Berdasarkan Variasi Jarak Konduktor Dan Impedansi Kabel Menggunakan Metode Fast Fourier Transform (FFT). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Busur api listrik terjadi karena suhu operasi yang lebih tinggi sehingga menyebabkan kerusakan proses titik penghubung yang mengarah ke longgar koneksi. Titik diskontinuitas terbentuk celah yang sangat kecil sehingga arus dapat terus mengalir. Busur api listrik ditandai dengan awan plasma akibat dari beda potensial antara dua elektroda. Munculnya hal tersebut dapat mengakibatkan timbulnya cahaya dan suara yang intens hingga berujung ke bahaya kebakaran. Pada studi ini, eksperimen busur api listrik seri dilakukan dengan beban resistif pada sistem DC photovoltaic. Eksperimen dilakukan dengan pengamatan busur api listrik pada celah elektroda yang berdekatan berdasarkan variasi jarak elektroda dan variasi panjang impedansi kabel. Nilai resistansi variasi panjang impedansi kabel diukur menggunakan LCR meter dan kaliper celah. Modul NI 9775 yang terhubung pada Verivolt Entube DE-HB dan Tektronix A622 yang digunakan untuk mengakuisisi data sinyal arus dan tegangan busur api listrik. Kemudian, sinyal arus diolah menggunakan DIAdem dan dianalisis karakteristiknya menggunakan metode FFT di MATLAB. Berdasarkan hasil dari pengujian variasi impedansi kabel didapatkan nilai hasil daya busur api listrik semakin besar pada impedansi kabel 25 meter. Hasil pengujian variasi celah elektroda didapatkan nilai daya busur api listrik dan durasi semakin besar terhadap besaran variasi celah elektroda dengan memperhatikan kondisi irradiance. Karakteristik sinyal FFT yang dihasilkan didapatkan nilai magnitude dari frekuensi yang dihasilkan pada kondisi busur api listrik selalu melebihi magnitude sinyal frekuensi kondisi normal. Hasil tersebut menjadikan metode FFT dapat digunakan untuk mendeteksi kondisi busur api listrik sistem DC pada photovoltaic.
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Electrical arcing is a phenomenon that occurs due to the elevated temperatures during operation, resulting in damage to the connecting-point process and leading to loose connections. The presence of a potential difference between the two electrodes gives rise to an electric arc. To investigate this phenomenon, a series of experiments were conducted on a DC photovoltaic system using a resistive load. The experiments involved observing the electric arcs in adjacent electrode gaps while varying the distances between the electrodes and the lengths of the cable impedance. The resistance values of the different cable impedance lengths were measured using an LCR meter and gap calipers. The arc current and voltage signal data were acquired using an NI 9775 module connected to Verivolt Entube DE-HB and Tektronix A622. The current signal was then processed using DIAdem, and characteristics were analyzed using FFT method in MATLAB. Results of testing the variations in cable impedance revealed the electric arc power was highest at a cable impedance of 25 m. Similarly, when examining the variations in the electrode gap, it was found that the electric arc power and duration increased with the magnitude of the variation in the electrode gap, considering the irradiance conditions. The FFT analysis of resulting signals indicated that the frequency magnitude produced under electric arc conditions consistently exceeded that of frequency signal under normal conditions. findings demonstrate that the FFT method can effectively detect presence of electric arcs in DC photovoltaic. By understanding the characteristics and behavior of electric arcs, appropriate measures can be taken to mitigate the associated risks and ensure the safe operation of such systems.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Busur Api Listrik, Fast Fourier Transform, Celah Elektroda, Impedansi. Electric arc, electrode gap, impedance.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Gustav Galvani Choliq
Date Deposited:	29 Jul 2024 02:57
Last Modified:	29 Jul 2024 02:57
URI:	http://repository.its.ac.id/id/eprint/109579

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