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Title: Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids

Abstract

All over the world the reduction of greenhouse gas (GHG) emissions, especially in the transportation sector, becomes more and more important. Electric vehicles will be one of the key factors to mitigate GHG emissions due to their higher efficiency in contrast to internal combustion engine vehicles. On the other hand, uncoordinated charging will put more strain on electrical distribution grids and possible congestions in the grid become more likely. In this paper, we analyze the impact of uncoordinated charging, as well as optimization-based coordination strategies on the voltage stability and phase unbalances of a representative European semi-urban low voltage grid. Therefore, we model the low voltage grid as a three-phase system and take realistic arrival and departure times of the electric vehicle fleet into account. Subsequently, we compare different coordinated charging strategies with regard to their optimization objectives, e.g., cost reduction or GHG emissions reduction. Results show that possible congestion problems can be solved by coordinated charging. Additionally, depending on the objective, the costs can be reduced by more than 50% and the GHG emissions by around 40%.

Authors:
 [1]; ORCiD logo [1];  [2];  [1]
+ Show Author Affiliations
  1. Friedrich-Alexander Univ. (Germany)
  2. SLAC National Accelerator Lab., Menlo Park, CA (United States)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1604573
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Accepted Manuscript
Journal Name:
Energies
Additional Journal Information:
Journal Volume: 12; Journal Issue: 21; Journal ID: ISSN 1996-1073
Publisher:
MDPI AG
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; electric vehicles; optimization; grid model; grid integration; coordinated charging

Citation Formats

Spitzer, Martin, Schlund, Jonas, Apostolaki-Iosifidou, Elpiniki, and Pruckner, Marco. Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids. United States: N. p., 2019. Web. doi:10.3390/en12214059.
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Spitzer, Martin, Schlund, Jonas, Apostolaki-Iosifidou, Elpiniki, & Pruckner, Marco. Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids. United States. https://doi.org/10.3390/en12214059
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Spitzer, Martin, Schlund, Jonas, Apostolaki-Iosifidou, Elpiniki, and Pruckner, Marco. Fri . "Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids". United States. https://doi.org/10.3390/en12214059. https://www.osti.gov/servlets/purl/1604573.
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@article{osti_1604573,
title = {Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids},
author = {Spitzer, Martin and Schlund, Jonas and Apostolaki-Iosifidou, Elpiniki and Pruckner, Marco},
abstractNote = {All over the world the reduction of greenhouse gas (GHG) emissions, especially in the transportation sector, becomes more and more important. Electric vehicles will be one of the key factors to mitigate GHG emissions due to their higher efficiency in contrast to internal combustion engine vehicles. On the other hand, uncoordinated charging will put more strain on electrical distribution grids and possible congestions in the grid become more likely. In this paper, we analyze the impact of uncoordinated charging, as well as optimization-based coordination strategies on the voltage stability and phase unbalances of a representative European semi-urban low voltage grid. Therefore, we model the low voltage grid as a three-phase system and take realistic arrival and departure times of the electric vehicle fleet into account. Subsequently, we compare different coordinated charging strategies with regard to their optimization objectives, e.g., cost reduction or GHG emissions reduction. Results show that possible congestion problems can be solved by coordinated charging. Additionally, depending on the objective, the costs can be reduced by more than 50% and the GHG emissions by around 40%.},
doi = {10.3390/en12214059},
journal = {Energies},
number = 21,
volume = 12,
place = {United States},
year = {2019},
month = {10}
}
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https://doi.org/10.3390/en12214059
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    Works referencing / citing this record:

    Optimization of Electric Vehicle Charging Scheduling in Urban Village Networks Considering Energy Arbitrage and Distribution Cost
    journal, January 2020

    • Srithapon, Chitchai; Ghosh, Prasanta; Siritaratiwat, Apirat
    • Energies, Vol. 13, Issue 2
    • DOI: 10.3390/en13020349
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