A Controllable Bidirectional Rectifier for EV Home Charging Station with G۲H/G۲VH/V۲H/V۲G Functions
Publish place: International Journal of Industrial Electronics, Control and Optimization، Vol: 4، Issue: 1
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 157
This Paper With 16 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IECO-4-1_010
تاریخ نمایه سازی: 20 تیر 1401
Abstract:
Finding effective solutions to enhance the process of electric vehicles’ charging is the main subject of numerous studies. In this paper, a novel bidirectional multiport rectifier has been presented which can be used as a wall-box converter that is installed in the parking lot of smart buildings and is able to provide DC-link for local DC loads such as DC home appliances and charge connected EV, simultaneously. The proposed converter is capable of working in G۲H/G۲VH/V۲H/V۲G modes which enables the utility grid and costumer to use the EV as a mobile power source and reactive power compensator. A control method is also presented which enables the converter to control active and reactive power according to the smart grid or customer processed commands. In order to validate features of the proposed converter, it is simulated in MATLAB/SIMULINK and results are analyzed. A reduced-scale experimental setup of the proposed converter is built and tested and experimental results confirm simulation ones.
Keywords:
Bidirectional Rectifier , EV Charge Station , Vehicle to Grid , Vehicle to Home , active and reactive power control
Authors
Homayon Soltani Gohari
Department of Electrical Engineering, K.N.Toosi University of Technology, Tehran, Iran
Karim Abbaszadeh
Department of Electrical Engineering, K.N.Toosi University of Technology, Tehran, Iran
Jafar Gholami Gorji
Department of Electrical Engineering, K.N.Toosi University of Technology, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :