Open AccessCloud based Electric Vehicle Load Management at DC Charging Stations
Author(s) -
Victor George,
Pradipkumar Dixit,
Shailendra Kumar Gupta
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f1012.0386s20
Subject(s) - backup , renewable energy , solar power , automotive engineering , electrical engineering , electric vehicle , grid , cloud computing , charging station , computer science , electric power system , battery (electricity) , engineering , power (physics) , operating system , physics , geometry , mathematics , quantum mechanics
DC distribution system is getting wider acceptance around the world due to the reduction of conversion stages between AC and DC and the increased popularity of DC loads. Solar PV is a genuine source of DC which can directly power the DC loads like electric vehicle (EV) battery for charging. Increased deployment of Electric vehicles need more charging stations, preferably powered with renewable DC sources or DC microgrid. The intermittent nature of solar power necessitates a backup support from the AC grid. An attempt is made to develop a load management system at a DC charging station powered from renewable sources. The proposed load management system can manage the various DC loads at the charging station based on the power rating of the charging equipment, available solar power and the availability of the backup AC grid. The entire system is automated and enabled with IoT in order to receive the available solar power data through a cloud based communication system. Identification of grid failure, instantaneous load changes and communication infrastructure through cloud for updating the generation profiles are the key concerns of the proposed system.