CD Skripsi
Optimalisasi Stasiun Pengisian Kendaraan Listrik Berbasis Panel Surya Menggunakan Buck Converter Dan Mppt Algoritma Incremental Conductance
ABSTRACT
The use of solar energy as a source for electric vehicle charging has become one of the solutions to reduce dependency on fossil fuels and support the transition to clean energy. This research aims to optimize the electric vehicle charging station system using a Buck Converter equipped with a Maximum Power Point Tracking (MPPT) algorithm based on Incremental Conductance. MPPT functions to maximize the power generated by solar panels by ensuring the system operates at its maximum power point. Additionally, the use of a Buck Converter has proven effective in reducing power losses and maintaining voltage stability during the charging process. he research results indicate that the implementation of the Buck Converter and MPPT algorithm based on Incremental Conductance can significantly improve charging efficiency, achieving an average efficiency rate of 94.6%. With the development of this system, it is hoped that solar-powered electric vehicle charging stations can be implemented more widely, especially in areas that are less accessible by conventional electricity grids. This system also has the potential to make a significant contribution to reducing carbon emissions and supporting the adoption of more environmentally friendly electric vehicles.
Keywords: charging station, buck converter, MPPT, incremental conductance, solar energy, electric vehicle
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