Kisacikoglu,M.C.Erden, FatihErden,F.Erdoğan, NuhErdogan,N.Department of Electrical & Electronics Engineering2024-07-052024-07-0520171978-150904545-710.1109/GlobalSIP.2016.79059752-s2.0-85019250606https://doi.org/10.1109/GlobalSIP.2016.7905975https://hdl.handle.net/20.500.14411/3821IEEE Signal Processing Society; The Institute of Electrical and Electronics EngineersThis study proposes a new distributed control strategy for the grid integration of plug-in electric vehicles. The proposed strategy consists of two stages: (i) an offline process to determine an aggregated reference charge power level based on mobility estimation and base load profile, and (ii) a real-time operation based on the distributed control approach. The control algorithm manages PEV charge load profiles in order to flatten the residential distribution transformer loading while ensuring the desired state of the charge (SOC) level. The proposed algorithm is tested on real distribution transformer loading data, and compared with heuristic charging scenarios. The numerical results are presented to demonstrate the impact of the proposed algorithm. © 2016 IEEE.eninfo:eu-repo/semantics/closedAccessDistributed controlGrid integrationPeak shavingPlug-in electric vehicleSmart chargingConference Object911915