Saputra, Brilian Adi (2017) Optimasi Penempatan dan Kapasitas DG untuk Meminimalisasi Rugi Daya dengan Mempertimbangkan Kestabilan Tegangan Menggunakan Metode Craziness based Particle Swarm Optimization (CRPSO). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pembangkitan terdistribusi atau distributed generation (DG) akhir-akhir kini menjadi perhatian khusus bagi para peneliti (akademisi) di bidang ketenagalistrikan. Hal ini dikarenakan DG dapat berfungsi untuk meningkatkan keandalan sistem dan memperbaiki kualitas daya dari suatu jaringan distribusi. Untuk mendapatkan hasil yang maksimal dari pemasangan DG, maka diperlukan optimasi penempatan lokasi dan kapasitas DG. Metode optimasi yang digunakan di dalam tugas akhir ini yaitu Craziness based Particle Swarm Optimization (CRPSO). Metode tersebut digunakan untuk mengoptimasi lokasi penempatan 1 DG dan 3 DG. Optimasi dilakukan untuk mendapatkan rugi daya minimum dengan konstrain batas tegangan pada jaringan distribusi radial IEEE 69 bus. Dari hasil optimasi, pemasangan 1 DG menghasilkan penurunan rugi daya aktif sistem sebesar 64,6%, sedangkan pada pemasangan 3 DG menghasilkan penurunan rugi daya aktif sistem sebesar 70,7%. Metode CRPSO lebih unggul dan konsisten dalam mendapatkan nilai yang optimal dibandingkan dengan metode PSO.
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Distributed generation (DG) has recently become a particular concern for researchers or academics in the field of electricity because DG can enhance system realibility and the power quality of distribution network. To get the optimal DG installation, placement and capacity of DG needs to be optimized. The optimization method that used in this final project is Craziness based Particle Swarm Optimization (CRPSO). This method used to optimize 1 DG and 3 DG’s installation. Optimization is done to obtain minimum power loss with voltage limit constraint in IEEE 69 bus radial distribution network. The result of the optimization is power loss of the system decreased 64.6% with 1 DG installed to the network, and the power loss of the system decreased 70.7% with 3 DG installed to the network. CRPSO is superior and more consistent than PSO to obtain optimal values.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | optimasi, DG, distribusi, CRPSO |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.546 Computer algorithms |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Brilian Adi Saputra |
| Date Deposited: | 30 Nov 2017 07:39 |
| Last Modified: | 06 Mar 2019 06:33 |
| URI: | http://repository.its.ac.id/id/eprint/44783 |
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