Nugroho, Onang Surya (2016) Desain Pengisian Optimal Kendaraan Listrik Berdasarkan Kebutuhan Daya Grid Dan Kondisi Grid Pada Stasiun Pengisian Kendaraan Listrik Menggunakan Kontroler Logika Fuzzy. Undergraduate thesis, Institut Teknologi Sepuluh Nopember Surabaya.
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Abstract
Kendaraan listrik telah menjadi salah satu alternatif dalam
menangani isu krisis energi dalam bidang transportasi. Peningkatan
jumlah kendaraan listrik yang tidak diiringi oleh sistem manajemen
stasiun pengisian yang baik akan memberikan dampak negatif ke sistem
distribusi pada jaringan seperti fluktuasi tegangan, drop tegangan, stress
tegangan, rendahnya kontinuitas daya sistem, bahkan dapat menyebabkan
terjadinya blackout. Diperlukan desain manajemen energi untuk
kendaraan listrik pada stasiun pengisian sehingga didapatkan model aliran
daya yang optimal antara stasiun pengisian dan grid.
Dalam tugas akhir ini akan dirancang analisis pengisian optimal
dengan mempertimbangkan estimasi aliran daya antara stasiun pengisian
dengan grid dan kondisi beban pada grid (off-peak / peak) menggunakan
kontroler fuzzy logic. Manajemen pengisian ini menggunakan konsep
vehicle to vehicle (V2V), vehicle to grid (V2G), maupun grid to vehicle
(G2V) yang diatur oleh indek dan rating pengisian hasil skoring rule
fuzzy.
Dengan dua masukan tersebut di atas, hasil simulasi menunjukkan
bahwa sistem berbasis fuzzy dapat meratakan kurva beban puncak
kendaraan listrik, mengurangi dampak beban puncak ke grid, dan dapat
memberikan keuntungan dari segi biaya berupa saving cost
===============================================================================================Electric vehicles has become one of alternatives in addressing
energy crisis in the field of transportation. Increasing the number of
electric vehicles that are not accompanied by a proper charging station
management would give negative impact either to the distribution system
on the network such as voltage fluctuation, voltage drop, voltage stress,
lack of continuity of the power system, and even cause the blackout.
Energy management design is needed for electric vehicles charging
stations to obtain optimal power flow model between charging station and
grid.
This research will be designed an analysis and design of optimal
charging by considering estimated power flow between charging station
with the grid and load conditions on the grid (off-peak / peak) using fuzzy
logic controller. This charging management uses the concept vehicle to
vehicle (V2V), vehicle to grid (V2G), and the grid to vehicle (G2V) which
adjust by charging index and charging rate results from rule fuzzy scoring
result.
The simulation results show that the fuzzy-based system can
flatten the load curve peak of electric vehicle, reducing the impact of peak
load to the grid, and can provide cost advantages in the form of cost
saving
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 629.229 3 Nug d |
| Uncontrolled Keywords: | Kendaraan Listrik, Pengisian Optimal, Fuzzy Logic Controller, Vehicle to Vehicle, Vehicle to Grid, Grid to Vehicle. |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | EKO BUDI RAHARJO |
| Date Deposited: | 26 Mar 2020 03:45 |
| Last Modified: | 26 Mar 2020 03:45 |
| URI: | http://repository.its.ac.id/id/eprint/75553 |
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