Studi Aliran Beban Interkoneksi Sistem Sulbangsel hingga Tahun 2020 Berdasarkan RUPTL PT. PLN (Persero) 2017-2026

Authors

  • Muhira Dzar Dzar Faraby Doctoral Student Electrical Engineering, ITS, Surabaya
  • Ontoseno Penangsang Electrical Engineering, ITS, Surabaya

DOI:

https://doi.org/10.32487/jst.v3i1.224

Abstract

Abstract

This research aims to predict the condition of the electrical system Sulbangsel Systems Interconnection based RUPTL PT. PLN (Persero) from 2017 to 2026. Methods used power flow by using the Newton-Raphson M.File on Matlab Simulink based IEEE 33 Bus. Extra Power, Line Transmission and Load based RUPTL and improvement of existing load conditions using linear regression of the latest data by 11.7% annually. Results obtained an increase in bus point that initially 45 buses to 60 buses. Predicted by the addition of generation, transmission and load point by RUPTL there are 4 spot bus has a voltage level below 0.9 pu and total losses obtained up to 63 + j288.81 MVA.

Keywords :Robot, Arduino, Floor Cleaners, Line Follower

Abstrak

Penelitian ini bertujuan untuk memprediksikan kondisi sistem kelistrikan Interkoneksi Sistem Sulbangsel berdasarkan RUPTL PT. PLN (Persero) 2017-2026. Metode aliran daya yang digunakan Newton-Raphson dengan menggunkan M.File pada Simulink Matlab berdasarkan Standar IEEE 33 Bus. Penambahan Pembangkit, Saluran Transmisi dan Pembebanan berdasarkan RUPTL dan peningkatan kondisi beban yang telah ada menggunakan regresi linear dari data terakhir sebesar 11.7 % tiap tahunnya. Hasil yang didapatkan adanya peningkatan titik bus yang awalnya 45 bus menjadi 60 bus. Diprediksikan dengan adanya penambahan pembangkit, saluran transmisi dan titik beban berdasarkan RUPTL masih terdapat 4 titik bus memiliki level tegangan dibawah 0.9 pu dan total lossis yang didapatkan hingga 63 + j288.81 MVA.

Kata kunci :RUPTL, Newton-Raphson, Losses

References

Tim Opsis, “Laporan Harian Real Time Sistem Kelistrikan Sulselrabar”, UPT Sistem Sulsel PT. PLN (Persero), Makassar, 2017.

Kementrian ESDM, “RUPTL PT. PLN Tahun 2017-2026 “, Jakarta, 2017.

William D. & Stevenson Jr., “Analisis Sistem Tenaga Listrik”, Penerbit Erlangga, Jakarta, 1983.

Muhira Dzar Faraby, “Optimasi Penempatan SVC Pada Sistem Kelistrikan Sulselbar Dengan Menggunakan Algoritma Genetika (Tesis)”, Universitas Hasanuddin, Makassar, 2014.

Muhira Dzar Faraby, “Penggunaan Algoritma Genetika Dalam Mengoptimalan Penempatan SVC Pada Sistem Kelistrikan Sulselbar Berdasarkan RUPTL PT. PLN Persero”, SNTEK, Gowa, 2016.

Marsudi Djiteng, “Operasi Sistem Tenaga Listrik”, Graha Ilmu, Jakarta, 2016.

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Published

2017-04-11

Issue

Vol. 3 No. 1 (2017): JST ( Jurnal Sains Terapan )

Section

Artikel

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