Browsing by Author "Kisacikoglu,M.C."
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Conference Object Citation Count: 1A distributed smart PEV charging algorithm based on forecasted mobility energy demand(Institute of Electrical and Electronics Engineers Inc., 2017) Erden, Fatih; Erdoğan, Nuh; Erdogan,N.; Department of Electrical & Electronics EngineeringThis 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.Conference Object Citation Count: 17Examination of EV-grid integration using real driving and transformer loading data(Institute of Electrical and Electronics Engineers Inc., 2016) Erden, Fatih; Kisacikoglu,M.C.; Gurec,O.H.; Department of Electrical & Electronics EngineeringThe growing environmental concerns and the increase in oil prices will lead to the proliferation of electric vehicles (EVs) in the near future. The increase in the number of EVs, while providing green and inexpensive solutions to transportation needs, may cause constraints on the operation of the utility grid that should be investigated. In this paper, the real user driving information is collected from individual data tracking devices of passenger vehicle owners instead of assuming randomly distributed trip characteristics. The collected trip data are first analyzed to generate a statistical model of the trip characteristics in terms of home arrival times and state of charge (SOC) levels. The resulting model is then used to simulate and analyze the impact of EV integration in a real grid with different EV penetration levels. For this, real distribution transformer data provided by Başkent Electric Distribution Co. is used. The proposed method produces more realistic results in comparison to the studies assuming random scenarios. © 2015 Chamber of Electrical Engineers of Turkey.