Isnan, Nasrullah Akbar (2016) Pengurangan Rugi Daya dengan Rekonfigurasi dan Penempatan Kapasitor mempertimbangkan Kontingensi Menggunakan Metode Binary Integer Programming dan Particle Swarm Optimization. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sistem distribusi merupakan bagian dari sistem tenaga listrik untuk
menyalurkan tenaga listrik dari sistem transmisi ke konsumen. Saat ini
permintaan daya listrik semakin meningkat sehingga penyaluran tenaga
listirk akan semakin bertambah luas yang berakibat jaringan tegangan
menengah dan tegangan rendah yang digunakan juga akan semakin
bertambah panjang. Penambahan panjangnya saluran jaringan distribusi
ini akan mengakibatkan penambahan rugi daya yang dihasilkan dan
dapat berpontensi terjadinya kontingensi.
Rekonfigurasi dilakukan dengan cara mengubah status ON/OFF
dari tie switch dan sectionalizing switch. Dengan mengubah status
switch, kita mendapatkan suatu konfigurasi jaringan yang tepat jika
terjadi masalah kontingensi. Dengan menggunakan metode Binary
Integer Programming kita mendapat konfigurasi paling optimal. Jika
setelah rekonfigurasi terdapat nilai profil tegangan diluar standart (±5%)
diperlukan kapasitor bank untuk mengurangi kerugian daya dan
meningkatkan level tegangan. Dengan menggunakan metode Particle
Swarm Optimization diharapkan mendapatkan lokasi dan nilai kapasitor
yang optimal guna untuk mengurangi rugi daya akibat terjadinya
kontingensi.
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The distribution system is part of the power system to deliver
electricity from the transmission system to the consumer. Currently the
demand for electric power has increased so electricity power
distribution will result in increasingly network size of medium voltage
and low voltage is used also will be growing longer. The addition of the
length of channel distribution network will result in additional power
losses are generated and can be equally harmful occurrence of a
contingency.
Reconfiguration is done by changing the status of ON / OFF of the
switches and sectionalizing tie switch. By changing the switch status, we
get a proper network configuration in case of problems contingency. By
using the method Binary Integer Programming we got the most optimal
configuration. If there is a value after the reconfiguration of the voltage
profile under standard (± 5%), resulting in a large power loss value
then the required capacitor banks to reduce energy losses and improve
voltage level. By using Particle Swarm Optimization method is expected
to get the location and optimal capacitor value in order to reduce power
loss due to the occurrence of a contingency.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.315 Isn p |
| Uncontrolled Keywords: | Binary Integer Programming; Jaringan Distribusi Listrik; Particle Swarm Optimization; Rugi daya; Kontingensi; Binary Integer Programming; Electricity Distribution Networks; Particle Swarm Optimization; power loss; Contingency |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1318 Geothermal Power Plants |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Anis Wulandari |
| Date Deposited: | 05 Jun 2017 03:53 |
| Last Modified: | 27 Dec 2018 01:53 |
| URI: | http://repository.its.ac.id/id/eprint/41484 |
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