CD Skripsi

Pemantauan Deteksi Gangguan Pada Saluran Transmisi Berbasis Titik Koordinat Menara

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ABSTRACT
This research uses an Artificial Neural Network (ANN) method to estimate
fault location based on the coordinate point. The 150 kV transmission system is
modeled using software. The modeled transmission system is the transmission from
Koto Panjang (KP) bus to Garuda Sakti (GS) bus in Riau Province with 64,11017
Km length. Min – max normalization method is used to process the peak value of
the voltage phase (VA, VB, VC), current (IA, IB, IC) and zero sequence current (INOL).
ANN estimation is used to estimate the coordinate point of fault that occurs on
electrical transmission line. The training and testing data are generated by
simulating each type of short circuit with variation of fault location. Variation of
fault location are based on distance of tower from the KP bus. The obtained result
from ANN estimation testing are coordinate point estimation in latitude and
longitude form. The ANN model that has smallest average error percentage is the
ACG fault ANN model, which is 0,004013 % and the largest is the ABG fault ANN
model, which is 0,78527 %. The output of the ANN estimation then denormalized
and plotted to the actual map.
Keywords: Transmission Line, Short Circuit, Fault Voltage, Fault Current,
Artificial Neural Network, Coordinate Point

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

07 04. 121 (0015)

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Elektro., 2021

Deskripsi Fisik

ix, 79 hlm.; ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

07 04. 121 (0015)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

Daus

Versi lain/terkait

Lampiran Berkas

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