Sirait, Velix Setiawan (2018) Studi Penentuan Lokasi Distributed Generation Untuk Mengurangi Rugi Daya Pada Jaringan Distribusi Pt.Pln Ranting Dolok Sanggul Menggunakan Metode Genetic Algorithm (GA). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada studi ini, dilakukan simulasi pemasangan distributed generation (DG) pada jaringan distribusi penyulang 20 kV TL2DS2 Ranting Dolok Sanggul sebagai salah satu cara untuk mengurangi rugi daya pada saluran distribusi. Penentuan lokasi dan ukuran DG dilakukan menggunakan teknik optimasi algoritma genetika (GA) yang bertujuan untuk mengurangi rugi daya sistem. Simulasi dilakukan dalam tiga tahap. Pertama simulasi jaringan tanpa dihubungkan dengan DG. Rugi daya yang didapatkan sebesar 67,64 kW. Sementara untuk profil tegangan mengalami undervoltage dari bus 2 sampai bus 73. Kedua simulasi jaringan dengan ditambahkan PLTMH Aek Silang kapasitas 750 kW pada bus 3 jaringan. Penambahan PLTMH mengurangi rugi daya menjadi 12,08 kW. Ketiga dilakukan penambahan PV array di dua lokasi bus pada jaringan distribusi tersebut. Lokasi dan kapasitas PV dicari menggunakan teknik optimasi algoritma genetika (GA). Hasil pencarian menunjukkan PV array dihubungkan pada bus 10 dengan kapasitas 177,8 kW dan bus 19 dengan kapasitas 317,5 kW. Penambahan PV pada jaringan mengurangi rugi daya menjadi 3,1812 kW.
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In this study, the installation of distributed generation (DG) on TL2DS2 Ranting Dolok Sanggul 20 kV distribution networks performed as one way to reduce power losses in the distribution channel. Determining the location and size of the DG performed using a genetic algorithm optimization technique (GA), which aims to reduce system power loss. The simulation is done in three stages. First the network simulation without being connected with DG. The power loss is 67,64 kW. As for the voltage profile undervoltage from bus 2 to bus 73. Second, the network simulation with added AEK Silang PLTMH capacity 750 kW on bus 3 network. The addition of PLTMH reduces power loss to 12.08 kW. Third is the addition of PV arrays at two bus locations on the distribution network. The location and capacity of PV was sought using genetic algorithm optimization (GA). The search results show PV arrays connected on bus 10 with a capacity of 177,8 kW and bus 19 with a capacity of 317,5 kW. Adding PV to the network reduces power loss to 3,1812 kW.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.313 Sir s-1 3100018074317 |
| Uncontrolled Keywords: | Genetic Algorithm; Distributed Generation; Radial Distribution System; Algoritma Genetika; Distributed Generation; Sistem Distribusi Radial |
| Subjects: | Q Science > QA Mathematics > QA402.5 Genetic algorithms. Interior-point methods. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Velix Setiawan Sirait |
| Date Deposited: | 07 Feb 2018 05:16 |
| Last Modified: | 04 May 2020 00:40 |
| URI: | http://repository.its.ac.id/id/eprint/49409 |
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