{DC microgrid for future electric vehicle charging station designed by Energetic Macroscopic Representation and Maximum Control Structure}
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| Title | {DC microgrid for future electric vehicle charging station designed by Energetic Macroscopic Representation and Maximum Control Structure} |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | Locment F, Sechilariu M |
| Conference Name | Energy Conference (ENERGYCON), 2014 IEEE International |
| ISBN Number | VO - |
| Keywords | Batteries, Buildings, Charging stations, dc microgrid, distributed power generation, electric vehicle battery, electric vehicles, EMR, energetic macroscopic representation, energetic macroscopic representation structure, future electric vehicle charging station, load flow control, Load modeling, maximum control structure, maximum power extraction, maximum power point trackers, MCS, Microgrids, Photovoltaic, Photovoltaic power systems, photovoltaic sources, power flow, public grid, public grid connection, simulation, Technological innovation, urban DC microgrid, Vehicles |
| Abstract | This paper presents an urban DC microgrid based on photovoltaic which allows to charge the plug-in electric vehicles and to supply a DC load. Taking into account the public grid connection, the applied local control aims to extract maximum power from photovoltaic sources and manages the power flow with respect to electric vehicles state of charge and the DC load power demand. The urban DC microgrid is modeled by using Energetic Macroscopic Representation (EMR) and Maximum Control Structure (MCS). The simulation results for ensuring the maximal utilization of produced electricity, under different conditions, show the validity of the model and the feasibility of the proposed system design. |
| DOI | 10.1109/ENERGYCON.2014.6850614 |
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