Desain Pengisian Optimal Kendaraan Listrik Berdasarkan Kebutuhan Daya Grid Dan Kondisi Grid Pada Stasiun Pengisian Kendaraan Listrik Menggunakan Kontroler Logika Fuzzy

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: https://repository.its.ac.id/id/eprint/75553

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