Hasben, Rizky Fadhli (2016) Koordinasi Proteksi Adaptif Rele Arus Lebih Digital Menggunakan Metode Artificial Neural Network Pada Sistem Mesh Dengan Pembangkit Tersebar. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada sistem mesh yang terkoneksi dengan pembangkit tersebar
(Distributed Generation), terdapat kondisi dimana topologi jaringan
yang berubah-ubah. Hal tersebut disebabkan oleh waktu operasi dari
pembangkit tersebar yang bersifat temporary dan random. Kondisi ini
dapat dibedakan yaitu terhubung dengan grid, terhubung grid dan DG1,
terhubung grid dan DG2, dan terhubung grid dengan DG1 dan DG2.
Akibat topologi jaringan yang berubah-ubah, menyebabkan peningkatan
dan penurunan level arus hubung singkat sehingga seting dan koordinasi
proteksi awal menjadi tidak efektif dan efisien lagi terhadap konfigurasi
jaringan yang ada. Oleh karena itu dibutuhkan sistem proteksi yang
setingnya dapat menyesuaikan dengan topologi jaringan yang berubahubah.
Pada tugas akhir ini akan dirancang koordinasi sistem proteksi rele
arah arus lebih yang dapat mengikuti setiap perubahan kondisi pada
topologi jaringan tersebut menggunakan metoda Artificial Neural
Network dengan desain plant berbentuk mesh yang terhubung dengan
Grid dan DG. Hasil perancangan menunjukan bahwa penggunaan
metoda Artificial Neural Network dapat menghasilkan setingan rele
yang adaptif mengikuti perubahan topologi sistem. Dan metoda artificial
neural network juga dapat memprediksi setingan rele pada saat terjadi
gangguan yang diluar kondisi yang telah dipelajari dalam data learning
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In the mesh system connected to the plant spread (Distributed
Generation), a condition where the network topology changes. This was
caused by the operating time of the plant scattered nature temporary and
random. This condition can be differentiated which is connected to the
grid, grid connected and DG1, and DG2 connected grid, grid connected
by DG1 and DG2. As a result of the network topology change, causing
an increase and a decrease in short-circuit current level so that the
setting and coordination of early protection becomes ineffective and
inefficient again to the existing network configuration. Therefore, it
needs protection system which can adjust the setting with the network
topology changes. In this final project will be designed to coordinate the
protection system relays the current direction is to follow any changes in
conditions in the network topology using the method of Artificial Neural
Network to design a mesh-shaped plant connected to the grid and the
DG. The results show that the design method is to use Artificial Neural
Network can generate adaptive relay settings following the change in the
system topology. And a method of artificial neural network can predict
the relay settings in the event of disruptions that are beyond the
conditions that have been studied in the learning data.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.319 Has k |
| Uncontrolled Keywords: | Artficial Neural Network, Rele Arah Arus Lebih, Sistem Jaringan Mesh. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2861 Electric relays. Protective relays--Security measures. |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | ansi aflacha |
| Date Deposited: | 18 Feb 2020 07:46 |
| Last Modified: | 18 Feb 2020 07:46 |
| URI: | http://repository.its.ac.id/id/eprint/75020 |
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