Cloud based Electric Vehicle Load Management at DC Charging Stations
Victor George1, Pradip Kumar Dixit2, Madhuri. A3, Sayantani Gupta4, Vismayi. V5
1Victor George, Department of Electrical and Electronics, M.S Ramaiah Institute of Technology, Bengaluru (Karnataka), India.
2Pradipkumar Dixit, Department of Electrical and Electronics, M.S Ramaiah Institute of Technology, Bengaluru (Karnataka), India.
3Madhuri A, Department of Electrical and Electronics, M.S Ramaiah Institute of Technology, Bengaluru (Karnataka), India.
4Sayantani. Gupta, Department of Electrical and Electronics, M.S Ramaiah Institute of Technology, Bengaluru (Karnataka), India.
5Vismayi V, Department of Electrical and Electronics, M.S Ramaiah Institute of Technology, Bengaluru (Karnataka), India.
Manuscript received on 23 February 2020 | Revised Manuscript received on 06 March 2020 | Manuscript Published on 18 March 2020 | PP: 60-66 | Volume-8 Issue-6S March 2020 | Retrieval Number: F10120386S20/2020©BEIESP | DOI: 10.35940/ijrte.F1012.0386S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Charging Stations, DC Loads, DC Microgrid, Grid Failure, IoT, Load Management.
Scope of the Article: Cloud Computing and Networking