Irawan, Denny (2016) Koordinasi Adaptif Rele Arus Lebih Berbasis Algoritma Multiple Sequence Alignment (MSA) - Adaptive Overcurrent Relay Coordination Based On Multiple Sequence Alignment (MSA). Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Koordinasi adaptif rele arus lebih sebagai pengaman utama pada sistem distribusi radial mutlak harus dilakukan ketika ada DG yang masuk ke sistem, menyebabkan besar dan arah arus pada saat normal dan pada saat terjadi gangguan menjadi berubah. Bioinformatika digunakan untuk menyelaraskan / alignment urutan data input dan urutan database sehingga didapatkan similaritas yang akan digunakan untuk menentukan setting rele yang sesuai. Hasilnya menunjukkan keakuratan kecocokan data input pada saat terjadi gangguan dengan data yang ada pada database, meskipun terdapat junk pada data input karena satu atau beberapa OCR tidak mengirimkan informasi data arus yang melaluinya.
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The overcurrent relays (OCRs) as main protective devices have been most commonly used to protect radial distribution system and must set correctly when load, generation-level or system-topology changes. For digital OCRs based on microprocessor, adaptive setting coordination stored at the memory. This paper demonstrates the technique of bioinformatics to compare between data input sequence from all of the OCRs currents and connected generation with database sequences at the memory to find similarity which is used to determine the setting of available OCRs. The result shows the accuracy of similarity scoring even though there is junk of data input when one or some OCRs’ not send a fault current data information passing.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTE 621.319 Ira k |
| Uncontrolled Keywords: | Rele arus lebih, Koordinasi adaptif, Bioinformatika, Overcurrent relay (OCR), Adaptive coordination, Bioinformatics. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering |
| Depositing User: | ansi aflacha |
| Date Deposited: | 17 Dec 2019 07:45 |
| Last Modified: | 17 Dec 2019 07:45 |
| URI: | http://repository.its.ac.id/id/eprint/72403 |
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