Electric vehicle charging loads in residential areas of apartment houses

Oula Lehtinen; Sami Pitkäniemi; Atte Weckman; Mikael Aikio; Michel Mabano; Matti Lehtonen

doi:10.1109/EPE51172.2020.9269191

Electric vehicle charging loads in residential areas of apartment houses

Oula Lehtinen, Sami Pitkäniemi, Atte Weckman, Mikael Aikio, Michel Mabano, Matti Lehtonen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of 21st International Scientific Conference on Electric Power Engineering, EPE 2020
Editors	Zdenek Muller, Miroslav Muller
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781728194790
DOIs	https://doi.org/10.1109/EPE51172.2020.9269191
Publication status	Published - Dec 2020
MoE publication type	A4 Article in a conference publication
Event	International Scientific Conference Electric Power Engineering - Prague, Czech Republic Duration: 19 Oct 2020 → 21 Oct 2020 Conference number: 21

Conference

Conference	International Scientific Conference Electric Power Engineering
Abbreviated title	EPE
Country/Territory	Czech Republic
City	Prague
Period	19/10/2020 → 21/10/2020

Keywords

Apartment house
Charging
Electric vehicle
Load modeling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/EPE51172.2020.9269191

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title = "Electric vehicle charging loads in residential areas of apartment houses",

abstract = "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. ",

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Lehtinen, O, Pitkäniemi, S, Weckman, A, Aikio, M, Mabano, M & Lehtonen, M 2020, Electric vehicle charging loads in residential areas of apartment houses. in Z Muller & M Muller (eds), Proceedings of 21st International Scientific Conference on Electric Power Engineering, EPE 2020., 9269191, IEEE, International Scientific Conference Electric Power Engineering, Prague, Czech Republic, 19/10/2020. https://doi.org/10.1109/EPE51172.2020.9269191

Electric vehicle charging loads in residential areas of apartment houses. / Lehtinen, Oula; Pitkäniemi, Sami; Weckman, Atte et al.

Proceedings of 21st International Scientific Conference on Electric Power Engineering, EPE 2020. ed. / Zdenek Muller; Miroslav Muller. IEEE, 2020. 9269191.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Lehtinen, Oula

AU - Pitkäniemi, Sami

AU - Weckman, Atte

AU - Aikio, Mikael

AU - Mabano, Michel

AU - Lehtonen, Matti

N1 - Conference code: 21

PY - 2020/12

Y1 - 2020/12

N2 - 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.

AB - 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.

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Electric vehicle charging loads in residential areas of apartment houses

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Conference

Keywords

UN SDGs

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