Title :
Optimal management of battery charging of electric vehicles: A new microgrid feature
Author :
Karnama, A. ; Resende, F.O. ; Lopes, J. A. Pecas
Author_Institution :
INESC-Porto (Inst. of Eng. & Comput. Syst.), Porto, Portugal
Abstract :
Large deployment of Plug-in Hybrid Electric Vehicles (PHEVs) will put new challenges regarding the power systems operation. The MicroGrid (MG) concept can be exploited to support the progressive integration of PHEVs into the Low Voltage (LV) networks by developing smart charging strategies to manage the PHEVs batteries charging procedures in order to avoid reinforcements in the grid infrastructures. Assuming that a number of PHEVs owners allow managing the batteries charging when their cars are parked, this paper proposes an approach that aims to find suitable individual active power set-points corresponding to the hourly charging rate of each PHEV battery connected to the LV grid. The Evolutionary Particle Swarm Optimization (EPSO) tool is used to find these active power set points. This requires an additional software module to be housed in the MV/LV secondary substation level, called Optimal Power Set-points Calculator (OPSC).
Keywords :
battery management systems; battery powered vehicles; distributed power generation; evolutionary computation; hybrid electric vehicles; particle swarm optimisation; power grids; EPSO tool; LV grid; LV networks; MV-LV secondary substation level; OPSC; PHEV battery charging procedure; electric vehicle battery charging; evolutionary particle swarm optimization tool; individual active power set-points; low voltage networks; microgrid feature; optimal management; optimal power set-point calculator; plug-in hybrid electric vehicles; software module; Bars; Batteries; Equations; Optimization; Search problems; Substations; Vehicles; Evolutionary Particle Swarm Optimization; MicroGrid; Optimal Power Set-points Calculator; Plug-in Hybrid Electric Vehicles; Smart Charging;
Conference_Titel :
PowerTech, 2011 IEEE Trondheim
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-8419-5
Electronic_ISBN :
978-1-4244-8417-1
DOI :
10.1109/PTC.2011.6019189