Abri, Khalid (2016) Optimasi Pembebanan Pembangkit Menggunakan Random Drift Particle Swarm Optimization (RDPSO) Pada Sistem Interkoneksi Jawa – Bali 500 kv. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Optimasi pembebanan pembangkitadalah sebuah upaya untuk merumuskan kombinasi daya output beberapa generator secara optimal. Tujuan utamanya adalah untuk meminimalisir biaya bahan bakar dari generator yang beroperasi. Pada tugas akhir ini, optimasi dilakukan dengan metodeRandom Drift Particle Swarm Optimization (RDPSO). RDPSO adalah metode yang terinspirasi oleh pergerakan elektron pada suatu konduktor metal yang berada di area bermedan listrik. Metode ini menghasilkan evolusi dalam sebuah set algoritma untuk penyelesaian fungsi non-linear. RDPSOdigunakan untuk menemukan daya output yang optimum dari generator sistem interkoneksi Jawa – Bali 500 kV yang sedang beroperasi memenuhi beban pelanggan pada 19 Februari 2016. Hasilnya, RDPSO mampu menghemat biaya bahan bakar sekitar 0,65% dari total biaya realisasi PLN. Disamping itu, RDPSO mampu menemukan titik yang lebih optimum secara cepat jikalau dibandingkan dengan metode Particle Swarm Optimization (PSO).
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Power System Economic Dispatch is an effective way to formulate combination of the power output in several generator optimally. The main purpose is to minimize the fuel cost which is generator operated. In this final assignment, the optimization process was done byRandom Drift Particle Swarm Optimization (RDPSO) method. RDPSOis a method which is inspired by free electron model in a metal conductor which is placed in an area influence by electric field. RDPSO propose an evolution in a set of equation of non-linear function algorithm. In this paper, RDPSO is used to solve the economic dispatch problem of several generator output in Jawa – Bali 500 kV interconnection system which is used to fullfill a demand on 19 Februari 2016. As a result,RDPSO can minimize 0.65% generator’s fuel cost than PLN did. In addition, RDPSO can find an optimum value of the system in better and fast condition than PSO did.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.31 Abr o |
| Uncontrolled Keywords: | Optimasi pembebanan pembangkit, Random Drift Particle Swarm Optimization, Sistem Interkoneksi Jawa – Bali 500 kV |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3226 Transients (Electricity). Electric power systems. Harmonics (Electric waves). |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | ansi aflacha |
| Date Deposited: | 20 Jan 2020 02:21 |
| Last Modified: | 20 Jan 2020 02:21 |
| URI: | http://repository.its.ac.id/id/eprint/72736 |
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