Pengurangan Rugi Daya dengan Rekonfigurasi dan Penempatan Kapasitor mempertimbangkan Kontingensi Menggunakan Metode Binary Integer Programming dan Particle Swarm Optimization

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. ================================================================================== 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 > (S1) Undergraduate Theses
Depositing User: Mrs 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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