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Journal : Energi

Studi Dampak Level Penetrasi Pembangkit Listrik Fotovoltaik pada Jaringan Distribusi Septianissa Azzahra; Agus Yogianto; Ibnu Hajar
Energi & Kelistrikan Vol 11 No 1 (2019): Energi & Kelistrikan
Publisher : Sekolah Tinggi Teknik PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.942 KB) | DOI: 10.33322/energi.v11i1.388

Abstract

Recently distribution network have connected with power plant unit also with photovoltaic power plant. Therefore voltage profile of distribution grid not any more distance from source there is voltage drop but connected with photovoltaic power plant would be increase grid voltage in this connected point also in the grid line. In this study, the distribution grid with connected with photovoltaic power plant is modelled. By using through MATHLAB / SIMULINK, modeling and simulation can be done ondistribution grid with two point connected to the photovoltaic power plant. From the simulation and analysis obtained, that power injection to grid by photovoltaic power plant can affect voltage grid condition, but not affect grid frequency relatively. The grid voltage will increase if there is power injection to the connected point in grid. Increase the power penetration to the grid would be increase the rise voltage in the grid. The constraint in this case, that power penetration must be considered the condition of quality voltage because any trend for voltage wave become distorted.
Penerapan Algoritma Kunang – Kunang (Firefly Algorithm) untuk Optimasi Rekonfigurasi Jaringan Distribusi Radial Yoakim Simamora; Ibnu Hajar; Alex Fernandes
Energi & Kelistrikan Vol 11 No 2 (2019): Energi & Kelistrikan
Publisher : Sekolah Tinggi Teknik PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.742 KB) | DOI: 10.33322/energi.v11i2.498

Abstract

ABSTRAK Penelitian ini membahas tentang rekonfigurasi jaringan untuk meminimalkan rugi jaringan pada sistem distribusi. Nilai rekonfigurasi jaringan dibatasi oleh jumlah tie switch yang ada pada jaringan distribusi. Rekonfigurasi jaringan Distribusi merupakan salah satu cara yang dilakukan untuk memperbaiki kualitas daya, kualitas daya dalam hal ini adalah perbaikan jatuh tegangan dan rugi – rugi daya. Binary firefly algorithm digunakan untuk optimasi rekonfigurasi jaringan Distribusi IEEE 33 bus. Skema ini diujikan pada sistem 12,66 kV. Hasil simulasi dengan menggunakan binary firefly algorithm pada saat belum dilakuakn optimasi pada sistem distribusi IEEE 33 bus memiliki rugi jaringan sebesar 202,69 kW dengan tegangan minimum 0,91 pu. Setelah rekonfigurasi jaringan rugi jaringan yang optimal sebesar 139,53 kW dengan tegangan minimum 0,95 pu. Kata kunci: Rekonfigurasi, Rugi-rugi Daya, Fire Fly Algorithm
Analisa Pengaruh Luas Penampang Penghantar dan Cuaca Terhadap Rugi Daya Akibat Korona Pada SUTT 150 kV (Studi Kasus: Gardu Induk Bangkalan – Gardu Induk Sampang) Ibnu Hajar; Tito Dias Fernando
Energi & Kelistrikan Vol 11 No 2 (2019): Energi & Kelistrikan
Publisher : Sekolah Tinggi Teknik PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.626 KB) | DOI: 10.33322/energi.v11i2.857

Abstract

PT. PLN (PERSERO) as a state-owned company responsible in the electricity sector is required to improve the quality of electricity transmission. In the transmission of electrical power to consumers will be got losses of power. Raising the voltage is an alternative to this problem but it creates new problems because the higher the voltage has increased the corona will occur. The impact of the corona in addition to damaging equipment, noise, and disturbing radio waves, the corona also causes power losses that are proportional to the length of the transmission line. This study uses a quantitative method, by calculating the corona power losses by comparing 4 different cross-sectional areas of the conductor and 4 different air temperatures. The results of this study found that the smaller the cross-sectional area of the conductor the power losses due to corona are smaller, conversely the greater the cross-sectional area the greater the power losses. At the smallest cross-sectional area of 282.6 mm2, the power losses that occurred were 2.013% and at the largest cross-sectional area of 378.7 mm2, the power losses were 5.251%. While the influence of air temperature, the lowest corona losses occur at 29 0C which are 1,223,886 kW and the biggest occur at 24 0C which are 1,373,419 kW, so the higher the air temperature the smaller the corona losses, conversely the lower the air temperature than the higher the corona losses that occur.
Review dan Resetting Skema Overload Shadding Interbus Transformer 500/150 kV 1,3 Gandul dan 2 Kembangan Ibnu Hajar; Muhammad Ridho
Energi & Kelistrikan Vol 12 No 1 (2020): Energi dan Kelistrikan: Jurnal Ilmiah
Publisher : Sekolah Tinggi Teknik PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.946 KB) | DOI: 10.33322/energi.v12i1.942

Abstract

Power system protection is one of the most important aspect in power system operation. Power system protection is an attempt to widely prevent the fault over the whole system. One of the power system protection schemes that have been applied by PT. PLN (Persero) to 150 kV Jawa Bali subsystem is Over Load Shedding of Interbus Transformer 500/150 kV. Over Load Shedding scheme has correctly to be set to prevent overload on secondary side of IBT 500/150 kV. Black Out occured on January 2, 2018 at 150 kV subsystem of 1,3 Gandul – 2 Kembangan – Muara Karang is one of the impact caused by incorrect-setting of Over Load Shedding scheme. The purposes of this research are to review the initial setting of Over Load Shedding scheme and to reset it as a follow-up of Black Out event occured in this subsystem. This research uses qualitative method by analyzing the overload points obtained by the simulation of DIgSILENT 14.3.1. This thesis results the new Over Load Scheme setting of IBT 500/150 kV 1 and 3 Gandul those are 3 seconds of pick-up times for the first step and 3,5 seconds of pick-up times for the second step wherein 410,98 MW is necessarily to be shed in 2 steps. Meanwhile, the new Over Load Shedding setting of IBT 500/150kV 2 Kembangan are 2 seconds of pick-up times for the first step and 2,5 seconds of pick-up times for the second step wherein 378,23 MW is necessarily to be shed in 2 steps.
Model Doubly Fed Induction Generator (DFIG) untuk Analisis Performa Kontrol pada Pembangkit Listrik Tenaga Angin Tri Wahyu Oktaviana Putri; Agus Yogianto; Ibnu Hajar
Energi & Kelistrikan Vol 12 No 2 (2020): Energi dan Kelistrikan: Jurnal Ilmiah
Publisher : Sekolah Tinggi Teknik PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/energi.v12i2.1095

Abstract

Studi mengenai pengoperasian pembangkit listrik dari energi terbarukan dengan tenaga angin khususnya terkait dengan peran sistem kontrol pada pembangkit listrik tenaga angin relatif masih sangat terbatas. Peran sistem kontrol sendiri sangat penting di dalam konversi daya pembangkit listrik seperti ini. Oleh sebab itu untuk mengetahui serta menyelidiki pengaruh sistem kontrol konverter daya pada pembangkit listrik tenaga angin khususnya dengan Double-Fed Induction Generator (DFIG) dibutuhkan pemodelan dari pembangkit listrik tenaga angin dengan DFIG serta sistem kontrol yang dapat digunakan untuk simulasi pada jaringan atau sistem tenaga listrik. Penelitian dengan demikian bertujuan untuk menghasilkan model pembangkit listrik tenaga angin dengan generator DFIG beserta sistem kontrolnya yang dapat mengatur konversi daya secara optimal pada operasi yang terkoneksi ke jaringan listrik. Beberapa tahapan dilakukan pada penelitian ini yang terdiri dari kajian literatur, persiapan perangkat untuk simulasi memakai MATLAB/Simulink, pemodelan DFIG dengan penurunan persamaan yang berlaku, penyederhanaan model, disain kontrol, simulasi dan analisis. Pada tahapan penelitian ini hasil yang didapat merupakah sebagian tahapan penelitian yaitu mendapatkan pemodelan DFIG yang disederhanakan. Model DFIG yang disederhanakan ini diperoleh setelah melalui perumusan persamaan matematis dari rangkaian ekuivalen DFIG, menurunkan persamaan untuk model transien DFIG dan menyusun model DFIG dalam bentuk state space. Selanjutnya penyederhanaan dari bentuk state space diperoleh hubungan antara stator dan rotor DFIG.