Putri, Resita Novia (2015) Prediksi umur minyak transformator daya berbasis spektrum arus dan suhu dengan menggunakan metode haar wavelet. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Jaringan distribusi merupakan jaringan yang banyak digunakan
pelanggan perusahaan listrik. Jaringan ini memanfaatkan transformator
penurun tegangan 20kv/380v untuk memenuhi kebutuhan konsumen
yang didominasi oleh beban rumah tangga, bisnis hingga indutri kecil.
Namun kondisi isolasi transformator yang buruk menyebabkan
transformator distribusi sering mengalami gangguan hingga
transformator tidak dapat beroperasi. Gangguan pada isolasi
transformator khususnya minyak transformator dapat menyebabkan
susut umur pada transformator. Oleh karena itu dibutuhkan sebuah
sistem prediksi umur minyak transformator dengan mempertimbangkan
faktor arus sekunder transformator dan temperatur transformator dengan
tujuan untuk memudahkan PT.PLN dalam melakukan monitoring dan
preventive maintenance pada transformator distribusi. Transformasi
haar wavelet digunakan untuk mendapatkan nilai kerapatan energi dan
power spectral density (PSD) dari arus sekunder transformator sebagai
database sistem prediksi minyak transformator. Program logika fuzzy
digunakan untuk memperoleh prediksi umur minyak transformator
kemudian dicocokkan dengan kondisi di lapangan. Hasil prediksi yang
memberikan hasil paling akurat adalah hasil prediksi menggunakan
model 3. Minyak transformator yang lebih tua daripada umur operasi
transformator menandakan adanya penuaan pada minyak sehingga
dengan kondisi tersebut dapat dijadikan referensi dalam pemeliharaan
minyak transformator.
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The distribution network is a network that is widely used electrical
company customers. This network utilizes a step-down transformer
20kV/380V to meet the needs of consumers who are dominated by the
households, businesses to small industries load. But the bad condition of
the isolation transformer causing frequent disturbance of distribution
transformer untill transformer can not operate. Disturbances insulation
transformer oil can cause decrease of the lifetime of the transformer.
Therefore, it needs a transformer oil life prediction system consider the
secondary current transformer and the transformer temperature with the
aim to facilitate PT.PLN in monitoring and preventive maintenance on
distribution transformers. Haar wavelet transformation is used to obtain
the value of the energy and power spectral density (PSD) of the current
transformer secondary as transformer oil prediction system database.
While the results of the temperature of the transformer has not had a
relationship with transformer oil life and therefore has not become the
main parameters in the prediction of transformer oil age. Fuzzy logic
program is used to obtain life prediction using a data transformer oil
testing and matched to the real conditions in the field. Prediction results
provide the most accurate results is the result of using a prediction
model 3. Oil transformers older than age transformer operation indicate
that the aging of the oil with the condition can be referenced in the
maintenance of transformer oil.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.314 Put p |
| Uncontrolled Keywords: | Transformator distribusi; haar wavelet; kerapatan energi; power spectral density (PSD); logika fuzzy |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive. |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | - Taufiq Rahmanu |
| Date Deposited: | 26 Jun 2019 03:31 |
| Last Modified: | 26 Jun 2019 03:31 |
| URI: | http://repository.its.ac.id/id/eprint/63268 |
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