Syauqi, Ahmad Naufa and Hadi, Abdul (2015) Prototipe Pengidentifikasi Jenis Peralatan Elektronik Rumah Tangga Menggunakan Spektrum Harmonisa Arus. Undergraduate thesis, Institut Technology Sepuluh Nopember.
Preview |
Text
2212038023-2212038027 Non Degree.pdf - Published Version Download (3MB) | Preview |
Abstract
Penggunaan beban – beban non linier seperti mesin-mesin
sinkron, lampu hemat energi, las dan lain-lain dapat menyebabkan
gelombang arus dan tegangan pada sistem tenaga listrik terdistorsi atau
yang sering disebut harmonisa yang mengakibatkan keamanan dan
kualitas dari sistem tenaga listrik terganggu. Harmonisa merupakan
distorsi periodik dari gelombang sinus tegangan, arus, atau daya dengan
bentuk gelombang yang frekuensinya merupakan kelipatan diluar
bilangan satu terhadap frekuensi fundamental (frekuensi 50 Hz/60 Hz).
Akibat lain yang ditimbulkan harmonisa adalah rusaknya peralatan
listrik, penurunan daya trafo & bertambahnya losses, dan terjadinya
kesalahan ukur pada KwH meter.
Oleh karena itu, perlu dibuat alat untuk memonitoring
harmonisa dan kemudian diidentifikasi peralatan elektronik yang
menimbulkan harmonisa. Pada tugas akhir ini dibuat alat pendeteksi
harmonisa arus menggunakan metode Discrete Fourier Transform (DFT)
berbasis mikrokontroler. Mikro akan mengirimkan data serial ke
komputer dan akan diolah oleh aplikasi borland delphi untuk diketahui
harmonisa yang ada pada peralatan elektronik rumah tangga. Kemudian
identifikasi hasil THDi di Visual Basic.
Setelah dilakukan monitoring dan identifikasi dapat diketahui
peralatan elektronik yang ada di rumah tangga dapat menimbulkan
harmonisa atau tidak. Hasil pengukuran yang didapat antara prototipe
dan alat ukur memiliki selisih %error yang kecil sehingga prototipe
layak untuk digunakan. Prototipe mampu mendeteksi keberadaan
harmonisa arus hingga orde 15 atau pada frekuensi 750Hz.
=======================================================================================================
The use of non linier loads such as synchronous machines,
energy saving lamps, welds, and so on can create a surge current and
voltage of the power system distorted or often called harmonics
resulting in safety and quality of electric power systems disrupted.
Harmonic is periodic distortion of the sine wave voltage, current, or
power with waveform, which frequency is multiple of the number higher
than one, on the outside of the fundamental frequency (frequency 50
Hz/60Hz). The other effect of the harmonic can damage electrical
equipment, decreasing power of transformer and increasing losses, and
error measurement KwH meter.
There for, it is necessary to make a tool for harmonic
monitoring and then to identify which electronic equipment caused
harmonic. This research make tool that can identify current harmonic
using Discrete Fourier Transform (DFT) based on microcontroller. Micro
will send serial data to the computer and will be processed by Borland
Delphi software to know the amount of harmonics on household
electronic equipment. Moreover, identification of the result of THDi will
be processed usingVisual Basic.
After monitoring and identification we can know the electronic
equipment in the household can create to harmonics or not.
Measurement results obtained between prototype and measuring devices
have a small %error so that the prototype feasible for use. The prototype
is able to detect the presence of harmonic currents up to order 15 or at a
frequency of 750Hz.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.319 1 Sya p |
| Uncontrolled Keywords: | Harmonisa arus, DFT, delphi 7, Identifikasi |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3226 Transients (Electricity). Electric power systems. Harmonics (Electric waves). |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20401-(D3) Diploma 3 |
| Depositing User: | Mr. Tondo Indra Nyata |
| Date Deposited: | 12 Dec 2019 06:50 |
| Last Modified: | 12 Dec 2019 06:50 |
| URI: | http://repository.its.ac.id/id/eprint/72345 |
Actions (login required)
 |
View Item |