Rambono, Aji Istanto (2017) Optimasi Koordinasi Kontrol Tegangan Pada On Load Tap Changer (OLTC) Transformer Dengan Pemanfaatan Suplai Dari Distributed Generator (DG) Pada Jaringan Distribusi Tengangan Menengah. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Berkembang sistem tenaga listrik, sistem distribusi akan menjadi semakin luas. Kondisi ini menimbulkan permasalahan yang lebih kompleks dan masalah yang sering ditemui adalah rugi daya yang tinggi dan tegangan yang buruk. Salah satu cara untuk mengatasi permasalahan tersebut dengan memasang Distributed Generation (DG) pada lokasi yang tepat dan koordinasi On Load Tap Changer (OLTC). Binary Particle Swarm Optimization (BPSO) metode optimasi yang mampu mengoptimasi permasalah diskrit seperti permasalahan pada tugas akhir ini. Proses optimasi diujikan pada sistem IEEE 33 bus dengan modifikasi beban. beban bernilai 1,5 kali lebih besar dari kondisi awal. Untuk memperoleh hasil yang optimal proses optimasi ini dibagi menjadi 4 tahap yaitu: sistem dasar, penentuan lokasi DG, penentuan lokasi transformer, penentuan koordinasi level OLTC. Pada kasus sistem dasar di dapatkan total rugi daya sistem sebesar 499.2295 kW dengan tegangan maksimal sebesar 12.66 kV dan minimal sebesar 10.9172 kV. Setelah di lakukan optimasi penentuan lokasi DG didapatkan hasil optimal dengan penambahan 3 DG dengan total rugi daya sebesar 60.9894 kW dengan tegangan maksimal sebesar 13.3680 kV dan tegangan minimal sebesar 12.1713 kV hal ini menandakan tegangan setelah di beri DG menjadi overvoltage sehingga dengan koordinasi OLTC diharapkan mampu menjadi solusi hal ini terbukti dengan optimasi koordinasi OLTC didapatkan nilai rugi daya sebesar 59.8096 kW dan tegangan maksimal sebesar 13.2370 kV dan tegangan minimal 12.6461 kV kV.
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In the development of electric power systems, electrical
distribution systems become increasingly extensive and complex. The
system problem losses that occur on the system becomes greater and drop
voltage. To overcome this, the common way is the provision of Distributed
Generation (DG) and coordination On Load Tap Changer (OLTC). To
solve such problems, Binary Particle Swarm Optimization (BPSO)
method is proposed to solve discrete problem. The optimization was tested
on the IEEE 33 bus system load modification. Load is 1.5 bigger than the
initial condition. To obtain the optimal result. The optimization process
in this final project devided into 4 case included : a base system , optimal
loacation of DG, optimal location of OLTC and coordination of OLTC.
The first in a base system generates power losses a mounted to 499,2295
kW with a maximum voltage 12.66 kV and a minimum voltage 10.9172
kV. After the optimization of DG location determination obtained optimal
results with the add 3 DG to system generates a total losses a mounted to
60.9894 kW with a maximum voltage 13.3680 kV and a minimum voltage
of 12.1713 kV this indicates the voltage after injection DG to be
overvoltage so that the coordination OLTC is expected to be This solution
is proven by the coordination of OLTC optimization obtained the value of
power loss of 59.8096 kW and maximum voltage of 13.2370 kV and a
minimum voltage of 12.6461 kV kV.
Item Type: | Thesis (Undergraduate) |
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Additional Information: | RSE 621.319 Ram o-1 |
Uncontrolled Keywords: | Penempatan DG, Koordinasi OLTC, Sistem Distribusi, Binary Particle Swarm Optimization (BPSO) |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1318 Geothermal Power Plants T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Electromagnetic Devices |
Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
Depositing User: | Aji Istanto Rambono |
Date Deposited: | 14 Nov 2017 03:03 |
Last Modified: | 05 Mar 2019 07:50 |
URI: | http://repository.its.ac.id/id/eprint/43136 |
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