Electric Vehicle Charging Loads in Residential Areas of Apartment Houses

Electric vehicle (EV) charging is expected to constitute a substantial part of the power demand in residential areas in the future. Its effects on the principles of distribution network planning and load profiles need to be studied. In this paper, we evaluate the feasibility of replacing the conventional cars with EVs in Finnish district heated apartment house areas. Stochastic simulation is used to combine a probabilistic charging model and electricity consumption data. We estimate the effects of uncontrolled, curtailed and price-optimized residential EV charging with different charging powers defined in the standards. The simulation results show that with 11.1 kW and 22.2 kW uncontrolled charging, the example apartment house connections would be overloaded. It is also found that the price-optimized charging should include a coordinated control logic that supports the local grid. With 1.84 kW charging, the power demand stays within the acceptable limits, but the coincidence factor increases from 0.2 to 0.63-0.93.

[1]  Xin Tong,et al.  Research on characteristics of electric vehicle charging load and distribution network supportability , 2016, 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[2]  Ehab F. El-Saadany,et al.  Probabilistic modeling of electric vehicle charging pattern in a residential distribution network , 2018 .

[3]  Xiaochen Zhang,et al.  An advanced data driven model for residential electric vehicle charging demand , 2015, 2015 IEEE Power & Energy Society General Meeting.

[4]  Danica Vukadinovic Greetham,et al.  Electric vehicles and low-voltage grid: impact of uncontrolled demand side response , 2017 .

[5]  Phil Blythe,et al.  A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts , 2015 .

[6]  Antti Lajunen Evaluation of energy consumption and carbon dioxide emissions for electric vehicles in Nordic climate conditions , 2018, 2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER).

[8]  Yue Yuan,et al.  Modeling of Load Demand Due to EV Battery Charging in Distribution Systems , 2011, IEEE Transactions on Power Systems.

[9]  Pingliang Zeng,et al.  Impacts of classified electric vehicle charging derived from driving patterns to the LV distribution network , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[10]  Zoran S. Filipi,et al.  Stochastic Modeling for Studies of Real-World PHEV Usage: Driving Schedule and Daily Temporal Distributions , 2012, IEEE Transactions on Vehicular Technology.

[11]  Kee Chaing Chua,et al.  A Statistical modelling and analysis of residential electric vehicles' charging demand in smart grids , 2015, 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

[12]  Arne Surmann,et al.  Electric vehicles’ impacts on residential electric local profiles – A stochastic modelling approach considering socio-economic, behavioural and spatial factors , 2019, Applied Energy.